IDIS CCTV Network / IP Cameras

Enclosures containing electronics, communications or cabling infrastructure offer a simple attack point for cyber breaches and an opportunity for a physical attack on the hardware. Yet, many of these assets are housed within enclosures that provide minimal security features to offer a deterrent to any would-be attacker. This has always just been a pet hate. Walking down the high street of a town anywhere in the United Kingdom, you can often see open street communication cabinets. You can actually look directly inside at the equipment. And if I was a bad guy, I could quite easily just put my foot into their enclosure and quite quickly take out their infrastructure. Charged service for enclosures This seems crazy when a US$ 2 magnetic contact on a door can quickly tell you whether your enclosure is open or shut, and can be vital in keeping your network alive. Moreover, the operators of these systems, whether it is telecoms or internet providers, are providing a charged service to their customers, so they should really be protecting their enclosures. Why has that security level not been so readily taken into the outside world, into the unprotected environment? More sobering, if you contrast this security approach to the approach taken in the data centre world, an environment that already has multiple stringent security protocols in place, you get a very different picture. For instance, security devices can capture snapshots of anyone who opens a cabinet door in a data room, so it is recorded who has opened that door. While that is just one simple example, it begs the question. Why has that security level not been so readily taken into the outside world, into the unprotected environment? In my mind, a lot of it boils down simply to education. Network connection, easy point of cyber attacks Our preconceived idea about cyber security is some big corporation being knocked out or held to ransom by, again in our mind, someone sitting at a laptop, probably with their hood up over their head, typing away in the darkness, attacking us through the internet. But how the would-be criminal is going to come at us is just like in sport. They attack at the weakest point. Networks can be deployed in the outside world in many ways, such as cameras monitoring the highways. That means those locations will have a network connection. And that can be a point of attack in a non-secure outside world. Enclosures can be broken into by attackers Many people think, ‘That is okay because I’m going to take that ethernet device that my cameras are connected to and I’m going to put it inside an enclosure.’ However, what people do not realize is that the only thing that the enclosure is doing is protecting the ethernet device from Mother Nature. Because, without proper security, those enclosures can be broken into pretty easily. Many of them are just a single key that is not in any way coded to the device. Twofold cyber security People need to realise that cyber security is twofold. It can be carried out by hacking the network or physically breaking Therein lays the problem. People need to realise that cyber security is twofold. It can be carried out by hacking the network or physically breaking into the weakest physical point. And so, a simple boot through the open door of an enclosure can vandalise the devices inside and take down a small or large part of a network. And by definition, this meets the criteria for a cyber-attack. So, how do we go about tackling this problem? Well, security is a reaction marketplace. And for enclosures, there’s not, at present, a plethora of solutions out there for to counter these types of attacks. It can be challenging to find what you’re looking for through a quick Google search compared to searching for more traditional security protection measures. Deploying smart sensors and detectors But, under Vanderbilt and ComNet, we are currently taking our knowledge and experience from system installation and compiling it together. We’re bringing different products from different parts of our business to make a true solution. For instance, we have sensors for enclosures that detect anything from gas or smoke to open doors, detectors that will tell you if someone is trying to smash open your enclosure with a sledgehammer, or that someone is trying to lift your enclosure off of its mount. More importantly, as is not really a one-size-fits-all solution, we have developed a menu structure available that allows customers to pick and choose the ones that will best fit their own requirements.

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 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.  

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 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.

Buyers of video technology are focusing increasingly on business protocol enforcement applications, in addition to traditional security, says IDIS America and virtual guarding and monitoring service partner Virtual Management Intelligence (VMI). The two companies are working together to deliver AI-supported remote surveillance services, including business operations monitoring, in sectors such as transportation, warehousing, cannabis production, food processing, banking, and finance. Improve monitoring of vehicle safety checks In transportation, for example, IDIS video is being used by VMI to improve monitoring of 24-point vehicle safety checks which must be carried about by drivers to ensure compliance with Department of Transportation (DoT) requirements. At high-security locations such as banks, the company is helping to streamline and adhere to opening and closing protocols. And, in major industrial applications - from coffee roasting to food processing - its monitoring services are underpinning both safety and production line efficiency. Delivering enterprise-level monitoring “These are applications where customers want video technology to focus on the wider wellbeing of their business operations, and to reduce their liabilities,” says San Kim, VMI, Operations Director. IDIS Deep Learning Analytics (IDLA) to deliver enterprise-level monitoring to more customers more affordably  “Security is still a key requirement but there is a growing realisation that cameras can be used for so much more. VMI is using IDIS end-to-end video solutions, including IDIS Deep Learning Analytics (IDLA) to deliver enterprise-level monitoring to more customers more affordably,” he notes. “IDLA’s automated detection tools – including line-cross, loitering, and object detection – are taking pressure off VMI’s monitoring teams and helping them give users of all sizes access to the kind of customised 24/7 surveillance that was traditionally only available to large corporations with dedicated control room operations.” IDIS video tech “This is also helping users cut their insurance liabilities and reduce their litigation risks,” Kim adds. “Our clients can now contact any of our operators and say, ‘I had a slip in one of my lobbies. Can you back up the relevant cameras, upload the recordings to a particular folder on our FTP, send a link to the store manager, and also include it on a report to our insurers as soon as possible?” The comparatively long operational life of IDIS video tech, its straightforward maintenance and upgrade paths, along with its ease of use for VMI’s customers, are also proving to be valuable in reducing the company’s trouble-shooting workload. Offering video monitoring solutions “Compared to alternative mix-and-match solutions that we’ve tried, the IDIS end-to-end, single supply model is more cost-effective to operate and maintain,” Kim points out. However, he warns against the industry over-promising when it comes to the capabilities of deep learning analytics. “For the video sector as a whole, the challenge now is to focus on applicable solutions that work in real life. We’ve already proven that our deep learning engine is solid, we now need to look at how best to use the level of accuracy we’ve developed.” “We are working closely with VMI to offer some of the best value video monitoring solutions available, not just for security purposes but for much wider business applications, as well,” says Jason Burrows, Sales Director, Western U.S., IDIS America. “Looking ahead, we see exciting opportunities for deep learning analytics to be closely customised to solve the specific problems of individual customers.”

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.”

Growing concern about deep-fake videos will make it increasingly important to be able to demonstrate the integrity of video evidence, warns South Korea’s largest in-country video tech manufacturer IDIS. Rapid advances in digital video manipulation techniques, and a rise in alleged deep-fake celebrity videos being reported in the news, will put pressure on both video tech users and on prosecutors to demonstrate the integrity of any footage they use. Internal disciplinary proceedings “As we look ahead, wherever video is presented for use as legal evidence, or as part of internal disciplinary proceedings, we will see more attempts to assert that footage is not genuine. Courts will dismiss evidence where tampering cannot be ruled out,” says Dr. Peter Kim, Global Technical Consultant, IDIS. It will be vital that users can demonstrate beyond doubt that their footage has not been tampered" “Any challenge to the integrity of video evidence, if not countered, risks undermining the value of the entire video solution. This is particularly true in applications where investigating and prosecuting wrongdoing is a key function of the camera system. So, it will be vital that users can demonstrate beyond doubt that their footage has not been tampered with in any way.” IDIS, which supplies complete, end-to-end video solutions for applications ranging from high-risk critical infrastructure to commercial settings, has created protection of video footage integrity through its patented Chained Fingerprint™ algorithm. Exported video data IDIS recorders use Chained Fingerprint to ensure the integrity of the recorded and exported video data. Each frame is assigned a unique numerical ‘fingerprint’, calculated by relating its own pixel value to the fingerprint of the previous frame. This means that every single image frame of the video is linked by an encryption ‘chain’ with its neighbouring image frames. The encrypted chain is stored as part of the video data when the video is recorded or exported as a video clip using the IDIS ClipPlayer. Before playback, the ClipPlayer scans video and recalculates the fingerprint chains of the video data. If any part of the image frame is tampered with, the fingerprint chain will be broken and will not match the chain value calculated at the time of video export, prompting a flag. “As organisations look to upgrade or invest in new video solutions, protecting themselves against claims of video evidence tampering should be high on their priority list,” Kim adds.