IDIS’s latest tech-explainer eBook – The Benefits of Deep Learning Driven Intelligent Video Analytics – explores how a new generation of AI video solutions is delivering better security, safety, operational efficiency, and business intelligence.
The eBook, which can be downloaded now from the IDIS website, reflects the company’s commitment to supporting its systems integrator partners as they focus on delivering advanced video solutions into growth sectors.
Modern network cameras
In recent years, the terms ‘intelligent’ and ‘artificial intelligence (AI)’ have been applied to many different types of security system, but without agreement on what AI means, says IDIS, so it’s important to understand that not all solutions are designed to the same standard or deliver equal value.
The new eBook explains some of the differences between conventional ‘blob’ analytics - found in most modern network cameras and relatively prone to false-alarm triggers caused by environmental factors - and more powerful deep learning technologies. This newest generation AI solutions leverage neural networks made up of multiple layers of algorithms and advanced processing and can be more accurately called ‘intelligent’ video analytics.
Deep learning video solutions
Metadata search functions also allow users to benefit from advanced interrogation of single and multiple cameras
Deep learning’s real value comes from its ability to detect events of interest and distinguish these from video data input which is just ‘noise’. But some caution is still needed, warns IDIS: deep learning video solutions can still disappoint if the engines and algorithms that drive them are not fully trained and able to recognise objects reliably and accurately.
By contrast, effective deep learning video analytics can deliver multiple benefits, from preventing ‘alarm overload’ in busy security control rooms, to freeing up personnel resources and enabling security provision to be better focused. Metadata search functions also allow users to benefit from advanced interrogation of single and multiple cameras, speeding up investigations and automatically locating objects or people of interest.
Face mask detection
The eBook also outlines how AI video can support efficient return-to-work strategies and ensure COVID-secure facilities and workplaces using highly accurate analytics for face mask detection, social distancing adherence, people counting, and occupancy monitoring. Guidance is also provided for systems integrators, demonstrating how the same functionality will deliver value beyond the pandemic, with benefits such as facilities and workspace optimisation, and actionable insights, particularly for the retail and hospitality sectors.
“The best AI offerings today add value for customers by rapidly increasing productivity and efficiency, and providing useful business intelligence,” says James Min, Managing Director, IDIS Europe. “This new eBook explains how systems integrators can get past the jargon to support end-users, building a compelling business case that both addresses immediate priorities and demonstrates long term return on investment.”
Cynet announced a new guide titled "10 CISOs with Small Security Teams Share their Must Dos and Don'ts" which details how to effectively manage small and medium enterprise (SME) security with five or fewer cybersecurity team members. As the challenges of smaller security teams are certainly different than with larger teams, these IT professionals must be more creative and pragmatic than their large enterprise counterparts.
In the past several years they have seen a rise in cybersecurity attacks on businesses of every size. Business email has been compromised, endpoints are under constant threat, and ransomware attacks have multiplied to name a few.
Unlike large enterprises with extensive cybersecurity teams, SMEs are plagued with a lack of dedicated resources, device mis-administration, lack of training and a reduced level of IT management framework. Despite this, SME CISOs with these reduced teams have adapted and overcome and in a recent survey, provided ten recommendations for maintaining the highest level of protection possible.
Invest in communicating upstream:
Develop and present a strategy/plan to address cybersecurity attacks. This should be done annually and be presented in board meetings. Avoid tech-speak and present the statistics, trends and overview of new threats. Discuss the business risk these threats pose and the company's ability to defend against such attacks. Set the budget and expectations in the plan and communicate what can and cannot be done, along with the associated risks.
Leverage compliance to increase security budget:
Compared to cybersecurity budget concerns, the compliance budget "is what it is." It is an inflexible requirement that requires compliance for business operation. Leverage the compliance budget to augment the security environment for adherence. Verify with a control vs. regulation matrix and check for gaps on each regulation. This is a forward-looking approach that will help to easily comply and understand what gaps remain when the next regulation arises.
Consider the end-to-end costs of purchased products:
From initial deployment to post-installation analytics, alerts and maintenance, the costs of new security solutions cover multiple areas. When investing in a new cybersecurity product, make sure to understand the associated investment beyond the actual product cost and the security coverage, the upgrade frequency and requirements, dashboard/SIEM monitoring for alerts, false positive rates and more. Ask the vendor for a trial period in order to better understand and assess these parameters.
Consolidate security platforms:
There can be many layers of security with each increasing the level of overall IT complexity. Look for that single product that consolidates multiple technologies by design.
The most well-known and/or expensive brand is not necessarily the best:
Check comparison sites, read blogs and speak with colleagues to gain from their experience with various solutions. See how solutions rank in terms of third-party evaluations and security effectiveness.
Avoid the security alert wild goose chase:
Security teams, by definition, operate on alerts. Since smaller teams do not have the resources to follow up on each alert, set polices that define when a particular alert needs to be addressed. Make sure to follow-up on alerts that have been automatically remediated since that initial threat could be a part of a larger campaign.
Consider security solutions that do not block operations:
Employees will nearly always try to subvert a security policy if it slows down their operations. Instead of creating a uniform policy for all entities at the company, opt for multiple policies per role and how to overcome challenges.
Automate as much as possible:
If there are multiple manual tasks, there is most likely a way to automate these to reduce the time investment. Leverage the power of newer automation technologies to avoid menial or repetitive work.
Look beyond the product:
Steer away from products or services that lack quality customer support and servicing to avoid a semi-functioning solution. When inquiring about a new product ask how much product training is provided, is there an initial setup cost, is there a dedicated customer success manager, how proactive is customer service, what is the service level agreement (SLA) on an open ticket and is there servicing for incidents (MDR)?
Leverage SaaS offerings to reduce costs, overhead and resources:
SaaS solutions reduce deployment, management requirements, maintenance resources, and costs. Many security SaaS offerings are also more effective as a cloud-based architecture given their stronger processing capabilities. Check the security stack and perform research to confirm what can be replaced with a SaaS-based solution and benefit from the centralised management, processing and operating costs without sacrificing protection.
"With a bit of additional research, the right tools and supportive services, smaller cybersecurity teams can achieve enterprise-level protection to ensure their organisations are properly defended," said Eyal Gruner, CEO and Founder of Cynet.
"Thanks to the input of CISOs from the technology, healthcare, retail, financial services, and insurance industries, these security professionals have this high-level guidance to strengthen their security posture."
Hanwha Techwin has announced consultants, system designers and system integrators are now able to specify Wisenet Q series and Wisenet WAVE PoE NVRs supplied with Seagate hard disk drives (HDDs).
“Seagate’s space-efficient, high-density HDDs (hard disk drives) are able to perfectly meet the data storage demands of video surveillance systems and equally important, they have a reputation for being ultra-reliable,” said Uri Guterman, Head of Product & Marketing for Hanwha Techwin Europe.
Uri Guterman adds, “Our decision to collaborate with Seagate Technology will therefore enhance the ability of these Wisenet NVRs (Network Video Recorders) to robustly fulfill the requirements of virtually any video surveillance applications, other than those, which require a server-based storage solution.”
Wisenet Q and WAVE PoE NVRs
Wisenet WAVE PoE NVRs provide a cost-effective way of utilising the Wisenet WAVE VMS
Wisenet WAVE PoE NVRs provide a cost-effective, seamlessly integrated and optimised way of utilising the latest version of the feature-rich Wisenet WAVE video management software (VMS), without having to install a server.
Wisenet Q PoE NVRs are designed to be suitable for virtually any small to medium size video surveillance applications, which require a cost-effective, robust and reliable video recording and storage solution.
Retail and corporate applications
As such, they are ideal for budget limited office, retail and warehouse type applications that do not need a high number of cameras, but where users wish to have the ability to record high-definition images.
Smart R Distribution’s appointment as a full member of the Dahua Dealer Partner Program, provides the opportunity for installers to source Dahua products from the specialist distributor of access control and video surveillance network solutions.
Supplier of Dahua IP cameras, NVRs
As an authorised reseller, Smart R Distribution will be supplying the entire portfolio of Dahua products, including a comprehensive range of IP security cameras, NVRs (Network Video Recorders) and video management software (VMS).
We are very pleased to be able to support installers who wish to recommend Dahua products to their end-user clients"
“We are very pleased to be able to support installers who wish to recommend Dahua products to their end-user clients," said Simon Shawley, Business Development Manager at Smart R Distribution, adding “Dahua’s innovation is second to none and the breadth and depth of their product portfolio enables options for virtually any video surveillance project. They also have an impressive reputation for being extremely reliable.”
HDCVI products and WizSense solutions
Simon Shawley adds, “We are particularly excited about the opportunity to provide installers with a competitive edge by way of Dahua’s excellent HDCVI analogue products, as well as the WizSense range which includes innovative TiOC active deterrence cameras. Equipped with a powerful AI chip and deep learning algorithms, which enable them to accurately detect people and vehicles, the performance of these cameras is impressive and will help installers win new business.”
Adam He, Account Manager at Dahua Technology said, “We are delighted to welcome Smart R, which is well known for offering high levels of pre- and post-sales support, into our Dahua Dealer Partner Program. Installers of Dahua solutions will now be able to benefit from the Smart R team’s wealth of knowledge and expertise to assist them in providing end-user clients with maximum value from their CCTV systems.”
While the application of facial recognition within both public and private spheres continues to draw criticism from those who see it as a threat to civil rights, this technology has become extremely commonplace in the lives of iPhone users. It is so prevalent, in fact, that by 2024 it is predicted that 90% of smartphones will use biometric facial recognition hardware.
CCTV surveillance cameras
Similarly, CCTV is a well-established security measure that many of us are familiar with, whether through spotting images displayed on screens in shops, hotels and offices, or noticing cameras on the side of buildings. It is therefore necessary we ask the question of why, when facial recognition is integrated with security surveillance technology, does it become such a source of contention?
It is not uncommon for concerns to be voiced against innovation. History has taught us that it is human nature to fear the unknown, especially if it seems that it may change life as we know it. Yet technology is an ever-changing, progressive part of the 21st century and it is important we start to shift the narrative away from privacy threats, to the force for good that LFR (Live Facial Recognition) represents.
Live Facial Recognition (LFR)
We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition
Across recent weeks, we have seen pleas from UK organisations to allow better police access to facial recognition technology in order to fight crime. In the US, there are reports that LAPD is the latest police force to be properly regulating its use of facial recognition to aid criminal investigations, which is certainly a step in the right direction. While it is understandable that society fears technology that they do not yet understand, this lack of knowledge is exactly why the narrative needs to shift.
We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition, we respect these anxieties. However, it is time to level the playing field of the facial recognition debate and communicate the plethora of benefits it offers society.
Facial recognition technology - A force for good
Facial recognition technology has already reached such a level of maturity and sophistication that there are huge opportunities for it to be leveraged as a force for good in real-world scenarios. As well as making society safer and more secure, I would go as far to say that LFR is able to save lives.
One usage that could have a dramatic effect on reducing stress in people with mental conditions is the ability for facial recognition to identify those with Alzheimer’s. If an older individual is seemingly confused, lost or distressed, cameras could alert local medical centres or police stations of their identity, condition and where they need to go (a home address or a next of kin contact).
Granted, this usage would be one that does incorporate a fair bit of personal data, although this information would only be gathered with consent from each individual. Vulnerable people could volunteer their personal data to local watchlists in order to ensure their safety when out in society, as well as to allow quicker resolutions of typically stressful situations.
Tracking and finding missing persons
Another possibility for real world positives to be drawn from facial recognition is to leverage the technology to help track or find missing persons, a lost child for instance. The most advanced forms of LFR in the market are now able to recognise individuals even if up to 50% of their face is covered and from challenging or oblique angles.
Therefore, there is a significant opportunity not only to return people home safely, more quickly, but also reduce police hours spent on analysing CCTV footage.
Rapid scanning of images
Facial recognition technology can rapidly scan images for a potential match
Facial recognition technology can rapidly scan images for a potential match, as a more reliable and less time-consuming option than the human alternative. Freed-up officers could also then work more proactively on the ground, patrolling their local areas and increasing community safety and security twofold.
It is important to understand that these facial recognition solutions should not be applied to every criminal case, and the technology must be used responsibly. However, these opportunities to use LFR as force for good are undeniable.
Debunking the myths
One of the central concerns around LFR is the breach of privacy that is associated with ‘watchlists’. There is a common misconception, however, that the data of every individual that passes a camera is processed and then stored. The reality is that watch lists are compiled with focus on known criminals, while the general public can continue life as normal.
The very best facial recognition will effectively view a stream of blurred faces, until it detects one that it has been programmed to recognise. For example, an individual that has previously shoplifted from a local supermarket may have their biometric data stored, so when they return to that location the employees are alerted to a risk of further crimes being committed.
Considering that the cost of crime prevention to retailers in recent years has been around £1 billion, which therefore impacts consumer prices and employee wages, security measures to tackle this issue are very much in the public interest. Most importantly, the average citizen has no need to fear being ‘followed’ by LFR cameras. If data is stored, it is for a maximum of 0.6 seconds before being deleted.
Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story
Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story. It is essential we spend more time and effort communicating exactly why watchlists are made, who they are made for and how they are being used, if we want to de-bunk myths and change the narrative.
As science and technology professionals, heading up this exciting innovation, we must put transparency and accountability at the centre of what we do. Tony Porter, former Surveillance Camera Commissioner and current CPO at Corsight AI, has previously worked on developing processes that audit and review watch lists. Such restrictions are imperative in order for AI and LFR to be used legally, as well as ethically and responsibly.
Biometrics, mask detection and contactless payments
Nevertheless, the risks do not outweigh the benefits. Facial recognition should and can be used for good in so many more ways than listed above, including biometric, contactless payments, detecting whether an individual is wearing a facemask and is therefore, safe to enter a building, identifying a domestic abuse perpetrator returning to the scene of a crime and alerting police.
There are even opportunities for good that we have not thought of yet. It is therefore not only a waste not to use this technology where we can, prioritising making society a safer place, it is immoral to stand by and let crimes continue while we have effective, reliable mitigation solutions.
Like most industries, the fields of security, access and safety have been transformed by technology, with AI-driven automation presenting a clear opportunity for players seeking growth and leadership when it comes to innovation.
In this respect, these markets know exactly what they want. They require solutions that accurately (without false or negative positives) classify and track people and/or vehicles as well as the precise location and interactions between those objects. They want to have access to accurate data generated by best-of-class solutions irrespective of the sensor modality. And, they need to be able to easily deploy such solutions, at the lowest capex and opex, with the knowledge that they can be integrated with preferred VMSs and PSIMs, be highly reliable, have low install and maintenance overheads and be well supported.
With these needs in mind, camera and computer vision technology providers, solutions providers and systems integrators are forging ahead and have created exemplary ecosystems with established partnerships helping to accelerate adoption. At the heart of this are AI and applications of Convolutional neural networks (CNN), an architecture often used in computer vision deep learning algorithms, which are accomplishing tasks that were extremely difficult with traditional software.
But what about 3D sensing technologies and perception?
The security, safety and access market have an additional crucial need: they must mitigate risk and make investments that deliver for the long-term. This means that if a systems integrator invests in a 3D sensing data perception platform today, it will support their choice of sensors, perception strategies, applications and use cases over time without having to constantly reinvest in alternative computer hardware and perception software each time they adopt new technology or systems.
This begs the question - if the security industry knows what it needs, why is it yet to fully embrace 3D sensing modalities?
Intelligent perception strategies are yet to evolve which sees designers lock everything down at the design phase Well, one problem facing security, safety and access solutions providers, systems integrators and end-users when deploying first-generation 3D sensing-based solutions is the current approach.
Today, intelligent perception strategies have yet to evolve beyond the status quo which sees designers lock everything down at the design phase, including the choice of the sensor(s), off-the-shelf computer hardware and any vendor-specific or 3rd party perception software algorithms and deep learning or artificial intelligence.
This approach not only builds in constraints for future use-cases and developments, it hampers the level of perception developed by the machine. Indeed, the data used to develop or train the perception algorithms for security, access and safety use cases at design time is typically captured for a narrow and specific set of scenarios or contexts and are subsequently developed or trained in the lab.
As those in this industry know too well, siloed solutions and technology gaps typically block the creation of productive ecosystems and partnerships while lack of commercial whole products can delay market adoption of new innovation. Perception systems architectures today do not support the real-time adaptation of software and computing engines in the field. They remain the same as those selected during the design phase and are fixed for the entire development and the deployment stage.
Crucially, this means that the system cannot deal with the unknowns of contextually varying real-time situations where contexts are changing (e.g being able to reflex to security situations they haven’t been trained for) and where the autonomous system’s perception strategies need to dynamically adjust accordingly. Ultimately, traditional strategies have non-scalable and non-adaptable competing computing architectures that were not designed to process the next generation of algorithms, deep learning and artificial intelligence required for 3D sensor mixed workloads.
What this means for industries seeking to develop or deploy perception systems, like security, access and safety, is that the available computing architectures are generic and designed for either graphic rendering or data processing. Solutions providers, therefore, have little choice but to promote these architectures heavily into the market. Consequently, the resulting computing techniques are defined by the computing providers and not by the software developers working on behalf of the customer deploying the security solution.
Context…. we don’t know what we don’t know
Perception platform must have the ability to adjust to changes in context, thereby improving the performance post-deployment To be useful and useable in the security context and others, a perception platform must have the ability to adjust to changes in context, can self-optimise and crucially, can self-learn, thereby improving the performance post-deployment. The combinations of potential contextual changes in a real-life environment, such as an airport or military base, are innumerable, non-deterministic, real-time, often analogue and unpredictable.
The moment sensors, edge computing hardware and perception software are deployed in the field, myriad variables such as weather, terrain as well as sensor mounting location and orientation all represent a context shift where the perception systems’ solution is no longer optimal. For example, it might be that a particular sensor system is deployed in an outdoor scenario with heavy foliage.
Because the algorithm development or training was completed in the lab, the moving foliage, bushes or low trees and branches are classified as humans or some other false-positive result. Typically, heavy software customisation and onsite support then ensue, requiring on-site support by solutions vendors where each and every sensor configuration needs to be hand-cranked to deliver something that is acceptable to the end customer.
A new approach for effective perception strategies
Cron AI is building senseEDGE, which represents a significant evolution in the development of sensing to information strategy. It is a 3D sensing perception and computer vision platform built from the ground up to address and remove the traditional deployment and performance bottlenecks we’ve just described.
senseEDGE is aware of the user application reaction plan indication to trigger an alarm or turning on a CCTV camera The entire edge platform is built around a real-time scalable and adaptable computing architecture that’s flexible enough for algorithms and software to scale and adapt to different workloads and contexts. What’s more, it has real-time contextual awareness, which means that the entire edge platform is, at any time, aware of the external context, the sensor and sensor architecture and the requirements of the user application.
Furthermore, when it produces the object output data, it also aware of the user application reaction plan indication, which could be triggering an alarm or turning on a CCTV camera when a specific action is detected. This approach turns traditional perception strategies on their head: it is software-defined programmable perception and computing architecture, not hardware-defined.
It is free from the constraints imposed by traditional CPU or GPU compute dictated by hardware architecture providers and not limited to the perception built defined during design time. And, being fully configurable, it can be moved from one solution to another, providing computation for different modalities of sensors designed for different use cases or environments, and lower risk of adoption and migration for those developing the security solution.
Future perception requirements
senseEDGE is also able to scale to future perception requirements, such as algorithms and workloads produced by future sensors as well as computational techniques and neural networks that have yet to be invented. Meanwhile, latency versus throughput is totally software-defined and not limited by providers of computing architecture.
Finally, contextually aware, it is fully connected to the real world where the reflexes adapt to even the subtlest changes in context, which makes all the difference in time and accuracy in critical security situations.
This is how CronAI sees the future of perception. It means that security and safety innovators can now access and invest with low risk in a useable and scalable perception solution that can truly take advantage of current and future 3D sensor modalities.
Urban populations are expanding rapidly around the globe, with an expected growth of 1.56 billion by 2040. As the number of people living and working in cities continues to grow, the ability to keep everyone safe is an increasing challenge.
However, technology companies are developing products and solutions with these futuristic cities in mind, as the reality is closer than you may think. Solutions that can help to watch over public places and share data insights with city workers and officials are increasingly enabling smart cities to improve the experience and safety of the people who reside there.
Rising scope of 5G, AI, IoT and the Cloud
The main foundations that underpin smart cities are 5G, Artificial Intelligence (AI), and the Internet of Things (IoT) and the Cloud. Each is equally important, and together, these technologies enable city officials to gather and analyse more detailed insights than ever before. For public safety in particular, having IoT and cloud systems in place will be one of the biggest factors to improving the quality of life for citizens.
Smart cities have come a long way in the last few decades, but to truly make a smart city safe, real-time situational awareness and cross-agency collaboration are key areas which must be developed as a priority.
Innovative surveillance cameras with integrated IoT
Public places need to be safe, whether that is an open park, shopping centre, or the main roads through towns
Public places need to be safe, whether that is an open park, shopping centre, or the main roads through towns. From dangerous drivers to terrorist attacks, petty crime on the streets to high profile bank robberies, innovative surveillance cameras with integrated IoT and cloud technologies can go some way to helping respond quickly to, and in some cases even prevent, the most serious incidents.
Many existing safety systems in cities rely on aging and in some places legacy technology, such as video surveillance cameras. Many of these also use on-premises systems rather than utilising the benefits of the cloud.
Smart programming to deliver greater insights
These issues, though not creating a major problem today, do make it more challenging for governments and councils to update their security. Changing every camera in a city is a huge undertaking, but in turn, doing so would enable all cameras to be connected to the cloud, and provide more detailed information which can be analysed by smart programming to deliver greater insights.
The physical technologies that are currently present in most urban areas lack the intelligent connectivity, interoperability and integration interfaces that smart cities need. Adopting digital technologies isn’t a luxury, but a necessity.
Smart surveillance systems
It enables teams to gather data from multiple sources throughout the city in real-time, and be alerted to incidents as soon as they occur. Increased connectivity and collaboration ensures that all teams that need to be aware of a situation are informed instantly.
For example, a smart surveillance system can identify when a road accident has occurred. It can not only alert the nearest ambulance to attend the scene, but also the local police force to dispatch officers. An advanced system that can implement road diversions could also close roads around the incident immediately and divert traffic to other routes, keeping everyone moving and avoiding a build-up of vehicles.
This is just one example: without digital systems, analysing patterns of vehicle movements to address congestion issues could be compromised, as would the ability to build real-time crime maps and deploy data analytics which make predictive policing and more effective crowd management possible.
Cloud-based technologies provide the interoperability, scalability and automation
Cloud-based technologies provide the interoperability, scalability and automation that is needed to overcome the limitations of traditional security systems. Using these, smart cities can develop a fully open systems architecture that delivers interoperation with both local and other remote open systems.
The intelligence of cloud systems can not only continue to allow for greater insights as technology develops over time, but it can do so with minimal additional infrastructure investment.
Smart surveillance in the real world
Mexico City has a population of almost 9 million people, but if you include the whole metropolitan area, this number rises sharply to over 21 million in total, making it one of the largest cities on the planet. Seven years ago, the city first introduced its Safe City initiative, and ever since has been developing newer and smarter ways to keep its citizens safe. In particular, its cloud-based security initiative is making a huge impact.
Over the past three years, Mexico City has installed 58,000 new video surveillance cameras throughout the city, in public spaces and on transport, all of which are connected to the City’s C5 (Command, Control, Computers, Communications and Citizen Contact) facility.
Smart Cities operations
The solution enables officers as well as the general public to upload videos via a mobile app to share information quickly, fixed, body-worn and vehicle cameras can also be integrated to provide exceptional insight into the city’s operations.
The cloud-based platform can easily be upgraded to include the latest technology innovations such as licence plate reading, behavioural analysis software, video analytics and facial recognition software, which will all continue to bring down crime rates and boost response times to incidents.
The right cloud approach
Making the shift to cloud-based systems enables smart cities to eliminate dependence on fibre-optic connectivity and take advantage of a variety of Internet and wireless connectivity options that can significantly reduce application and communication infrastructure costs.
Smart cities need to be effective in years to come, not just in the present day, or else officials have missed one of the key aspects of a truly smart city. System designers must build technology foundations now that can be easily adapted in the future to support new infrastructure as it becomes available.
Open system architecture
An open system architecture will also be vital for smart cities to enhance their operations
For example, this could include opting for a true cloud application that can support cloud-managed local devices and automate their management. An open system architecture will also be vital for smart cities to enhance their operations and deliver additional value-add services to citizens as greater capabilities become possible in the years to come.
The advances today in cloud and IoT technologies are rapid, and city officials and authorities have more options now to develop their smart cities than ever before and crucially, to use these innovations to improve public safety.
New safety features
Though implementing these cloud-based systems now requires investment, as new safety features are designed, there will be lower costs and challenges associated with introducing these because the basic infrastructure will already exist.
Whether that’s gunshot detection or enabling the sharing of video infrastructure and data across multiple agencies in real time, smart video surveillance on cloud-based systems can bring a wealth of the new opportunities.
Convergint Technologies’ rapid growth has come through a combination of organic growth and acquisitions — they have acquired 35 companies since 2014. Growth has been a focus since day one when the founders started the systems integration company with 10 colleagues in a basement.
Today, the diverse company includes more than 5,000 employees globally. As technology has advanced and business practices have evolved, Convergint’s core values and beliefs have guided their path forward.
Convergint’s culture is a critical aspect of the company, from the executive level to frontline colleagues. “It is essential that the companies we look to acquire and develop partnerships with directly align with our people-first, customer-centric, inclusive culture centered on colleagues and customers,” says Mike Mathes, Executive Vice President, Convergint Technologies.
“This approach has allowed us to maintain and grow our number of colleagues across our acquisitions and enables us to continue being our customers’ best service provider.”
Many practices have to be form-fitted to each individual acquisition A simple but important consideration as Convergint grows through acquisitions is: No two companies are the same. While some integration practices can be standardised across the company, many practices have to be form-fitted to each individual acquisition, says Mathes. “Our objective is not to come in and immediately implement change. We want to build on what has already been successful within the local market and share our learned experiences. There is plenty we can learn from each other and create a much better organisation.”
Mathes says that Convergint’s view of a successful acquisition is that 1+1=3. “The end result is always much more impactful than what we anticipated,” he says. “Every acquisition brings with it an experienced leadership team, dedicated and skilled colleagues, vertical market and technological expertise. Most acquisitions are in geographies where we do not already operate, so with every acquisition, we increase our capability to serve our customers much better.” Also, the network of Global Convergint Technology Centres (CTCs) helps expand clientele, and the Convergint Development Centre (CDC) offers new support capabilities allowing acquisitions to grow at a very high rate.
Are there more acquisitions to come? Mathes says Convergint is always open to further expanding its footprint across the globe, improving its ability to service customers, deepening their technical expertise, and continuing to expand service offerings across the current and new vertical markets. However, the current focus remains on several key factors: service to colleagues, customers, and communities.
“While obviously, acquisitions fuel our growth, the addition of these organisations to Convergint has really improved our ability to service clients on a global basis,” says Mathes. Acquiring ICD Security Solutions in Asia, for example, made Convergint a pioneer in that market for U.S.-based multi-national companies.
Meeting customers demand
“Convergint does not weigh market conditions when making an acquisition decision,” says Mathes. Rather, they are primarily focused on meeting or exceeding their customer’s needs on a local to a global level. They see acquisitions as a potential way to extend their geographic reach so they can be closer to customers.
An acquisition might also expand technological or vertical market expertise. “The end goal is for us to enhance our service capabilities by attracting and retaining talented colleagues and leaders to better service our customers,” says Mathes.
Enhancing and expanding services
Convergint identifies how to leverage the expertise to further enhance and expand current service options “Economies of scale” have not been a consideration. They have never sought to acquire companies and restructure them in the process, for example. Rather, each company brings forth a unique skillset, is carefully vetted by the executive team, and provides purpose in the company's mission and vision for the future.”
“Frontline colleagues are Convergint’s most valuable assets,” says Mathes. Rather than restructuring and eliminating skilled, knowledgeable colleagues, Convergint identifies how they can leverage the expertise to further enhance and expand current service options for customers. “Our colleagues and their skill sets are our competitive advantage—they remain an essential element to our success,” says Mathes.
Demand for integrator services
“We continue to experience a growing demand for innovative solutions across electronic security, fire alarm, and life safety,” says Mathes. “As companies innovate further and rely on technologies such as artificial intelligence, cybersecurity, IoT, and cloud solutions, we expect to see an increased demand for integrator services. Our customers demand a local service provider who is responsive and can meet their needs, which is why Convergint aims to be its customers’ best service provider.”
This year, Convergint is celebrating its 20th anniversary. In 2021, they will continue to focus on the same critical components that have dominated since day one taking care of colleagues, customers, and the communities where they operate.
Artificial intelligence (AI) is more than a buzzword. AI is increasingly becoming part of our everyday lives, and a vital tool in the physical security industry. In 2020, AI received more attention than ever, and expanded the ways it can contribute value to physical security systems. This article will revisit some of those development at year-end, including links back to the originally published content.
In the security market today, AI is expanding the use cases, making technologies more powerful and saving money on manpower costs - and today represents just the beginning of what AI can do for the industry. What it will never do, however, is completely take the place of humans in operating security systems. There is a limit to how much we are willing to turn over to machines - even the smartest ones.
Beyond video analytics
"Apply AI to security and now you have an incredibly powerful tool that allows you to operate proactively rather than reactively," said Jody Ross of AMAG Technology, one of our Expert Roundtable Panelists.
AI made its initial splash in the physical security market by transforming the effectiveness of video analytics
AI made its initial splash in the physical security market by transforming the effectiveness of video analytics. However, now there are many other applications, too, as addressed by our Expert Panel Roundtable in another article. Artificial intelligence (AI) and machine learning provide useful tools to make sense of massive amounts of Internet of Things (IoT) data. By helping to automate low-level decision-making, the technologies can make security operators more efficient.
Biometrics with access control
Intelligent capabilities can expand integration options such as increasing the use of biometrics with access control. AI can also help to monitor mechanics and processes. Intelligent systems can help end users understand building occupancy and traffic patterns and even to help enforce physical distancing. These are just a few of the possible uses of the technologies - in the end, the sky is the limit.
AI is undoubtedly one of the bigger disrupters in the physical security industry, and adoption is growing at a rapid rate. And it’s not just about video analytics. Rather, it is data AI, which is completely untapped by the security industry. Bottom line: AI can change up your security game by automatically deciphering information to predict the future using a wide range of sources and data that have been collected, whether past, present, and future. That’s right. You can look into the future.
Smarter perimeter protection
Now, Intrusion Detection (Perimeter Protection) systems with cutting-edge, built-in AI algorithms to recognise a plethora of different object types, can distinguish objects of interest, thus significantly decreasing the false-positive intrusion rate. The more advanced AI-based systems enable the users to draw ROIs based on break-in points, areas of high-valuables, and any other preference to where alerts may be beneficial.
AI Loitering Detection can be used to receive alerts on suspicious activity outside any given store
Similarly, AI Loitering Detection can be used to receive alerts on suspicious activity outside any given store. The loitering time and region of interest are customisable in particular systems, which allows for a range of detection options. Smart security is advancing rapidly. As AI and 4K rise in adoption on smart video cameras, these higher video resolutions are driving the demand for more data to be stored on-camera. AI and smart video promise to extract greater insights from security video.
Meeting urban needs
Complex, extensive camera networks will already require a large amount of data storage, particularly if this is 24/7 monitoring from smart video-enabled devices. Newer edge computing will play an important role in capturing, collecting, and analysing data. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices and sensors.
Video data is so rich nowadays, you can analyse it and deduce a lot of valuable information in real-time, instead of post-event. In smart cities applications, the challenge of identifying both physical and invisible threats to meet urban citizens’ needs will demand a security response that is proactive, adaptable and dynamic.
Optimise security solutions
As we look ahead to the future of public safety, it’s clear that new technologies, driven by artificial intelligence (AI), can dramatically improve the effectiveness of today’s physical security space. For smart cities, the use of innovative AI and machine learning technologies have already started to help optimise security solutions.
In sports stadium applications, AI’s role in getting fans and spectators back after the COVID pandemic is huge, through capabilities such as social distance monitoring, crowd scanning/metrics, facial recognition, fever detection, track and trace and providing behavioural analytics. Technologies such as AI-powered collaboration platforms now work alongside National Leagues, Franchises and Governing Bodies to implement AI surveillance software into their CCTV/surveillance cameras.
AI surveillance software
In many ways, it’s the equivalent of a neighbourhood watch programme made far more intelligent through the use of AI
This is now creating a more collaborative effort from the operations team in stadiums, rather than purely security. AI surveillance software, when implemented into the surveillance cameras can be accessed by designated users on any device and on any browser platform. One of the biggest advantages of using AI technology is that it’s possible to integrate this intelligent software into building smarter, safer communities and cities.
Essentially, this means developing a layered system that connects multiple sensors for the detection of visible and invisible threats. Integrated systems mean that threats can be detected and tracked, with onsite and law enforcement notified faster, and possibly before an assault begins to take place. In many ways, it’s the equivalent of a neighbourhood watch programme made far more intelligent through the use of AI.
Fighting illicit trade
Using technology in this way means that thousands of people can be screened seamlessly and quickly, without invading their civil liberties or privacy. AI’s ability to detect visible or invisible threats or behavioural anomalies will prove enormously valuable to many sectors across our global economy. Revolutionary AI-driven technologies can help to fight illicit trade across markets. AI technologies in this specific application promise to help build safer and more secure communities in the future.
AI can support the ongoing fight against illicit trade on a global scale in a tangible way. For financial transactions at risk of fraud and money laundering, for example, tracking has become an increasing headache if done manually. As a solution to this labour-intensive process, AI technology can be trained to follow all the compliance rules and process a large number of documents - often billions of pages of documents - in a short period of time.
The coronavirus pandemic had a monumental impact on all aspects of the business world, including the security industry. However, amid the gloom and doom, many security professionals also saw opportunity: New ways the industry’s products could be applied to address the challenges of coping with the virus. This article will review some of those opportunities, based on our reporting throughout the year and including links back to the original articles.
During and after the pandemic, security systems are an important asset when it comes to helping to keep occupants and buildings safe as employees return to work. For example, video analytics can provide insight into how spaces have previously been used and can help to predict where and when occupants encounter each other or congregate.
Role of thermal cameras
These foot-traffic patterns can inform settings for a variety of devices - like ventilation and temperature controls - and even help owners create social distancing plans and monitor personal protective equipment (PPE) compliance. Thermal surveillance, a mainstay of traditional physical security and outdoor perimeter detection, began being deployed early in the pandemic to quickly scan employees, contractors and visitors as part of a first line of defence to detect COVID-19 symptoms.
These systems provide flexibility and can offer integrations with multiple VMS platforms and access control devices
These systems provide flexibility and can offer integrations with multiple VMS platforms and access control devices. Thermal cameras can be a tool for detecting fever, but any use of the technology for this purpose is full of qualifications and caveats. Importantly, how the camera system is configured makes all the difference in whether temperature readings are accurate, and the downside of inaccurate readings is obvious - and potentially deadly.
Temperature detection systems
FDA guidelines limit how the cameras are used, not to mention guidance from other regulatory/government bodies such as the CDC. One of our Expert Roundtable panelists compares the market to a “wild west scenario,” and almost all the panelists are clear about how customers should approach the market: Buyer beware.
There are many companies jumping into selling temperature detection systems to the state, local governments, hospitals, airports and local businesses, but do they know how to drive one? Anyone can get behind a car and drive it into a wall by accident. The same can happen with a temperature detection system. Customers need to know what questions to ask to ensure they maximise the accuracy of body temperature detection systems.
Rise of contactless
Spread of the novel coronavirus has jolted awareness of hygiene as it relates to touching surfaces such as keypads. No longer in favor are contact-based modalities including use of personal identification numbers (PINs) and keypads, and the shift has been sudden and long-term. Both customers and manufacturers were taken by surprise by this aspect of the virus’s impact and are therefore scrambling for solutions.
Immediate impact of the change includes suspension of time and attendance systems that are touch-based
Immediate impact of the change includes suspension of time and attendance systems that are touch-based. Some two-factor authentication systems are being downgraded to RFID-only, abandoning the keypad and/or biometric components that contributed to higher security, but are now unacceptable because they involve touching. "Users do not want to touch anything anymore,” says Alex Zarrabi, President of Touchless Biometrics Systems (TBS).
Facial recognition system
Another contactless system that benefits from concerns about spread of COVID-19 is facial recognition. New advancement in software, specifically in the areas of algorithms, neural networks and deep learning and/or artificial intelligence (AI), have all dramatically improved both the performance and accuracy of facial recognition systems, further expanding its use for an increasing number of applications.
A low-tech solution - the face mask - became a leading preventative measure during the pandemic. But, a high-tech solution is necessary to ensure that everyone is wearing them. Cameras powered by artificial intelligence can now identify whether or not people entering a facility are wearing facemasks and help enforce adherence to mask mandates. This technology is proving to be a cost-effective solution that reduces risks of confrontations over masks policies and gives managers the data they need to document regulatory compliance and reduce liability.
Smart video analytics
Other technology approaches, including artificial intelligence (AI), were also brought to bear during the pandemic. The German data analytics powerhouse G2K, for example, has developed a Corona Detection and Containment System (CDCS) that is ready for immediate use in record time. Detection takes place in combination with AI-supported data analysis to specifically identify virus hotspots and distribution routes, as well as to identify other potentially infected persons.
One specific AI application fuels the reopening of the world and successfully keeps the spread of the virus abated
One specific AI application fuels the reopening of the world and successfully keeps the spread of the virus abated. A “collaborative security” application includes a synthesis of smart video analytics, facial recognition, object identification/detection, and thermal cameras that can support the reopening of businesses globally when installed within those facilities frequented by customers.
Enforcing social distancing
Several applications have been successful to date and will increase in usability in the foreseeable future, creating “smart cities” working together towards a safer, more secure world. The site of one pilot programme is the 250,000-square-foot HID Global facility in Austin. For the pilot programme, 80 HID Location Services readers were installed in a wide area in the facility, including a variety of environments. Initially 30 badges and 30 fobs, all BLE-enabled, were issued to employees.
If a badge identifies another nearby beacon (suggesting a social distancing failure), it emits a blinking LED light, which can be seen by the offending co-worker. To ensure social distancing, a Bluetooth Low Energy (BLE) beacon is emitted from an employee’s fob (or from a badge that has the same functionality). The beacon communicates peer-to-peer with a beacon emitted by another employee’s fob or badge to alert if the location of the two employees is less than six feet apart.
For contact tracing, the beacons communicate via a nearby “reader” (a BluFi BLE-to-Wi-Fi gateway) to the Bluzone cloud-based software-as-a-service.
COVID-19 white papers
In addition, we published several White Papers in 2020 that addressed various aspects of the coronavirus pandemic. They included:
The top five security lessons learned that apply across all industries navigating COVID-19.
Using video analytics to keep staff, visitors and customers safe by enforcing social distancing.
How antimicrobial treatment on door handles and levers can reduce disease spread.
How companies can put in extra precautions that will continue to grow and adapt with their environment over the long-term.
Determining the practicalities and capabilities of today's thermal cameras to accurately detect body temperature.
Potawatomi Hotel & Casino is teaming up with Evolv Technology to bring a state-of-the-art security and screening system to enhance the safety of guests and team members.
Evolv’s artificial intelligence-based touchless system, Evolv Express®, will help promote safety by using weapons detection screening without needing guests to walk through individually as is the case with traditional screening methods. While weapons of any kind have never been allowed on the property, this new system will detect them if they are brought in and guests will be asked to remove them from the property.
Touchless security screening
The Evolv system also offers thermal imaging in the continued effort to protect against COVID-19. Guests will no longer need to stop at the entrance to have their temperature taken by hand, which is the system that has been in place since Potawatomi re-opened in June. Evolv system offers thermal imaging in the continued effort to protect against COVID-19
“The health and safety of our guests and team members continue to be our number one priority,” said Potawatomi Hotel & Casino CEO and General Manager Rodney Ferguson. “This new technology allows us to ramp up our efforts while continuing to provide guests the entertainment and service they’ve come to expect.” Evolv, which has been providing this new touchless security screening since 2017, is second only to the Transportation Security Administration (TSA) in the number of people screened by its system – more than 50 million people at venues across the country.
Providing screening services
While Evolv is providing screening services at high-profile attractions such as Six Flags theme parks, Hersheypark, and Oakland International Airport, Potawatomi Hotel & Casino will be the first casino in the United States to utilize the technology for guest safety. “Potawatomi Hotel & Casino is known for delivering an industry-best guest experience,” said Evolv Technology Chief Executive Officer Peter George.
“Proactively addressing concerns brought on by issues like viruses and concealed weapons is paramount for venues to help people feel safe while enjoying their leisure time. It’s in keeping with Potawatomi’s well-earned ‘customer-first’ reputation to be setting the pace for other casinos and hotels.” The new screening system will be in place at each guest entrance: the main lobby on the south side of the casino, the parking garage Skyway, and the hotel lobby. Guests will not have to stop, empty their pockets, or have their bags checked unless directed to by security. Guests may still be asked to provide identification to show they are 21 years or older.
Genetec Inc., a globally renowned technology provider of unified security, public safety, operations, and business intelligence solutions, has announced how commercial real estate provider, Westminster Property Ventures has made innovative use of a range of Genetec solutions to make each of its premises safe from COVID-19 virus spread for staff, tenants and visitors.
Westminster Property Ventures’ buildings house critical businesses, such as international banks, law firms and consultancies who can be assured that amidst a global pandemic their offices remain highly secure and equipped for their return.
Genetec Mission Control
The newly introduced processes and technologies make smart use of Westminster Property Ventures’ existing video and access control infrastructure. For example, using the Genetec Mission Control collaborative decision management system, Westminster Property Ventures is collecting and qualifying data from thousands of sensors and security devices, before guiding security operators in their response to routine and unanticipated situations.
Among other current and critical capabilities, this helps ensure the seamless transition of out-of-hours monitoring between Westminster PV’s in-house security team and security provider, Wilson James’ monitoring centre, ensuring comprehensive levels of security at all times.
“Our clientele continue to expect the highest level of security and service from us whether or not they are currently choosing to work inside our buildings,” said Andrew Forbes-Jones, Facilities Manager, Westminster Property Ventures, adding “We’re grateful to Genetec and Wilson James for keeping us at the forefront of innovation and compliance in all aspects of our security and operations.”
Security Center Synergis access control system
COVID-19 has created new challenges for Westminster Property Ventures’ security and operations teams in maintaining a secure and safe environment for both home and remote workers, as well as those still working inside the facilities.
Using the Genetec Security Center Synergis access control system, Westminster Property Ventures is taking advantage of many COVID-19 specific features, developed over the last year, to help them directly address the challenges of the global pandemic.
Synergis Proximity Report
Westminster Property Ventures has deployed the Genetec’s ‘Synergis Proximity Report’
Along with the system’s new occupancy management capability, Westminster Property Ventures has deployed Genetec’s ‘Synergis Proximity Report’, first deployed at McCormick Place in Chicago, North America’s largest convention center that was repurposed as a COVID-19 field hospital in spring of 2020.
Drawing data from the Synergis access control system, the solution allows Westminster Property Ventures to quickly identify individuals visiting one of their buildings, who may have come in contact with someone known to have tested positive for COVID-19 infection.
Efficient protection against COVID-19 virus
“I’m constantly impressed by the ability of our partners and end users to adapt quickly to changing requirements and bring the latest innovative solutions online to address them,” said Paul Dodds, Country Manager UK at Genetec, Inc.
Paul adds, “Westminster Property Ventures’ rapid response to the challenges of the pandemic mirrors our own and validates our investments in technologies that can help make our workplaces safer, healthier and more secure.”
Johan Cruijff ArenA will utilise innovative video analytics to improve visitor flow, optimise parking utilisation and offer fans an anonymous way to provide feedback about the stadium experience, among other uses.
The Security & Safety Things IoT platform for smart cameras will integrate into the ArenA’s operational software to provide key insights into stadium operations and ongoing health and safety measures, especially useful since the pandemic. The partnership will provide a potential model for other organisations looking to deploy technology solutions to safely reopen.
IoT platform for smart cameras
Security and Safety Things GmbH and the Johan Cruijff ArenA are partnering up and will deploy S&STs IoT platform for smart surveillance cameras to enhance overall fan experience, optimise ArenA operations and increase visitor security and privacy.
The ArenA is home to AFC Ajax and the internationally renowned Amsterdam Innovation ArenA (AIA), a living lab established by the ArenA and the City of Amsterdam to enable development and testing of innovative stadium and smart city solutions.
Security & Safety Things IoT platform
S&ST IoT platform and network of cameras is integrated into the ArenA’s dashboard software
The Security & Safety Things (S&ST) IoT platform and network of cameras is integrated into the ArenA’s dashboard software to provide information and analysis for safety and security as well optimisation of stadium operations and visitor engagement.
“Every technology selected for our innovation environment is strategic because of the potential benefits not only to our ArenA, but to the City of Amsterdam and other stadiums and large event venues seeking technological solutions to help to re-open safely and operate their facility more intelligently,” said Sander van Stiphout, Director International, Johan Cruijff ArenA.
Sander van Stiphout adds, “The unique flexibility of the Security & Safety Things approach enables us to simultaneously deploy COVID-19 health and safety analytics along with business optimisation tools and easily re-equip the cameras with other analytic applications as our needs change.”
AI-enabled video analytic applications
A series of smart cameras on the S&ST IoT platform are installed in key areas throughout the stadium. Using specialised, Artificial Intelligence-enabled video analytic applications from the S&ST Application Store that run directly on each camera, each device will provide the ArenA with valuable operational insights.
When the stadium reopens, crowd detection analytics will monitor social distancing compliance and visitor flow around entrances and food or merchandise kiosks. License plate recognition cameras will assist with real-time occupancy monitoring for parking and traffic flow optimisation.
Queue detection applications
Queue detection applications can be employed to reduce visitor wait times by directing fans to less busy areas and by providing the insights required to optimise staffing levels at peak times.
In one specific area, a camera also provides the ability for visitors to provide feedback about their stadium experience in an anonymous and contact-free way by detecting the visual of a ‘thumbs-up’ or ‘thumbs-down’ from a visitor, collecting only the rating without disrupting people flow.
Smart camera platform
We’re honoured to be joining the Johan Cruijff ArenA as an innovation partner"
“The flexibility of our smart camera platform and the ArenA’s mission of innovation are very well matched to produce the intelligence necessary to address real world issues of privacy, health and safety but also new and creative ideas for stadium and event management,” said Hartmut Schaper, Chief Executive Officer (CEO), Security & Safety Things GmbH.
Hartmut adds, “We’re honoured to be joining the Johan Cruijff ArenA as an innovation partner and to help them provide a seamless and safe visitor experience.”
Smart surveillance camera system
The camera system and how it is used complies with all European and Dutch privacy regulations. Furthermore, there are various advantages to this camera system, when it comes to privacy. These cameras are equipped with powerful processors that analyse the images directly on the camera, reducing the need for a constant video stream to be passed on to a central location, where it can be monitored or further processed.
Instead, the cameras can be configured to send only the information about relevant events such as when a long queue is forming, groups of people gather too closely, or individuals are not wearing face coverings as required. Only then will respective images be passed along. This reduces the processing of visitors’ personal information to an absolute minimum as opposed to a traditional set-up where all footage is transmitted and centrally processed at all times.
Singapore’s Changi Airport Group, one of the most innovative and technologically advanced airports in the world, has selected Genetec, Inc. (Genetec), a globally renowned technology provider of unified security, public safety, operations, and business intelligence solutions to enhance and upgrade its security system.
Genetec Security Center
The three-year project, which is expected to be completed by the end of 2023, will see Genetec Security Center, a unified security platform that blends IP security systems within a single intuitive interface, underpinning the airport’s security operations, with a specific focus on the video surveillance system across its terminals.
The contract for Changi Airport Group was awarded to Genetec following a rigorous competitive tender process.
“Increasingly, our airport customers are understanding the deep business insights that Genetec Security Center is capable of delivering, its ability to inform and create value for multiple areas of an airport business operation and improve the overall passenger and employee experience,” said Giovanni Taccori, Commercial Lead Transportation, APAC at Genetec, Inc.
Our Expert Panel Roundtable is an opinionated group. However, for a variety of reasons, we are sometimes guilty of not publishing their musings in a timely manner. At the end of 2020, we came across several interesting comments among those that were previously unpublished. Following is a catch-all collection of those responses, addressing some of the most current and important issues in the security marketplace in 2021.
The “Roaring Twenties” was a decade of economic growth and widespread prosperity, driven by recovery from devastation, a construction boom, and welcoming of new technologies such as automobiles and electricity. As we look ahead to the big picture of the 2020s, 100 years later, are there parallels that suggest a successful decade ahead? Might recovery from the devastation of COVID-19 help to drive even higher levels of economic growth and technical innovation? We asked this week’s Expert Panel Roundtable: Does the new decade represent a new “Roaring Twenties” for the physical security market?
We are several weeks into 2021, and it is already shaping up to be an eventful year. The happenings and trends from 2020 will likely carry over into the new year, but in a fast-moving industry such as ours, there will also be additional trends to watch. Looking toward the year ahead, we asked this week’s Expert Panel Roundtable: What will be the biggest security trends in 2021?