The cloud is here to stay. Its resilience and ability to connect the world during during the COVID-19 pandemic has proved its worth, even to the uninitiated who have now witnessed first-hand the value of connected systems.

Video and access control as a service provides a flexible and fluid security and business solution to meet the demands of a rapidly evolving industry, where the changing threat landscape means investing in the cloud is an investment towards success.

This article will look back at our articles in 2020 about the growing popularity of cloud solutions for physical security, with links to the original content.

Product offering

While most people agree on the definition of “cloud,” there are several points about the terminology that may require clarification.

Private cloud or public cloud? VSaaS or unlimited storage for video? Beyond the basics, the terms become foggy, reflecting a variety of notions about how cloud services fit into the broader physical security marketplace.

As cloud usage becomes more popular, it’s important that marketers be precise in their terminology, and that integrators and end users be diligent in understanding the specifics of available product offerings.

Different meanings

The cloud has many different possible connotations, depending on the context,” says Yu Hao Lin of Rasilient Systems, one of our Expert Roundtable panelists.

For example, corporate CIOs will more likely understand the cloud to be a private cloud platform. As such, the public cloud is a ubiquitous term while the private cloud is more specified.

Cloud system security

Security of cloud systems is an ongoing discussion in the industry, especially how cloud system cybersecurity compares to that of on-premise systems.

Our Expert Panel Roundtable weighed in on this question. “While both kinds of security systems serve their purpose, it can be argued that the streamlined updates that are commonplace with cloud-based solutions may put them at more of an advantage when it comes to data security,” says panelist Eric Widlitz of Vanderbilt Industries.

Also, most reputable cloud-based solutions are running in secured data centers by companies such as Google, Microsoft or Amazon, so you also get to take advantage of all the security layers they have protecting your data.

Hybrid cloud video security solution

A growing list of cloud players reinforces the importance of the cloud in the future of physical security There are several relatively new companies pushing cloud in a big way.

Verkada is fast-growing company currently currently focusing to deliver an all-in-one hybrid cloud video security solution powered by edge processing inside the camera. The growing list of cloud players reinforces the importance of the cloud in the future of physical security.

Combining AI and cloud video

One company investing in the cloud is Eagle Eye Networks, which has raised $40 million of Series E funding from venture capital firm Accel to finance the realisation of their vision to combine AI and cloud video.

The money will allow Eagle Eye to continue its steep growth curve and leverage AI on its true cloud platform to reshape video surveillance. “The investment will make video surveillance smarter and safer for end-users,” says Ken Francis, President.

Eagle Eye offers an application programming interface (API) to enable the integration of best-in-breed third-party AI and analytics systems to leverage the video. Eagle Eye is also investing in its own AI development and hiring additional development and customer service personnel.

Hirsch Velocity Cirrus and MobilisID

Identiv introduced the Hirsch Velocity Cirrus cloud-based Access Control as a Service (ACaaS) solution and MobilisID smart mobile physical access control solution.

Hirsch Velocity Cirrus is an optimal solution for both end-users and integrators, with lower upfront costs, reduced maintenance, enhanced portability, and the future-proof assurance of automatic security updates and feature sets.

 MobilisID is a smart mobile physical access control solution that uses Bluetooth and capacitive technologies to allow frictionless access to a controlled environment without the need to present a credential.

Advantages and disadvantages

Advantages of cloud-based physical security technologies are many, when supporting staff  The advantages of cloud-based physical security technologies are many, and have wide-ranging applications for all areas of the transport sector; across stations, transport hubs and vehicles.

When used to support staff and complement existing processes, such systems can prove invaluable for transport professionals in helping to create a safer working environment, promoting confidence among personnel and passengers, and assuring passengers who are fearful about the current pandemic that all possible precautions are being taken during their journey.

5G supporting cloud-based applications

5G is the first communication environment that is cloud-native. As such, such, 5G networks will support cloud-based applications in a way that 4G, 3G and 2G can’t support. For instance, sensors (e.g. in a manufacturing plant) often have small internal storage and rely on synced devices (e.g. gateways) to interact with the cloud.

Soon, these sensors will be able to work more efficiently, interacting with the cloud via the ultra-low latency and the edge computing capabilities supported by 5G networks.

Increasing use of IoT

Unlike current IoT services that make performance trade-offs to get the best from these existing wireless technologies, 5G networks will be designed to bring the high levels of performance needed for the increasing use of IoT.

It will enable a perceived fully ubiquitous connected world, with the boosted capacity offered by 5G networks transferring exponentially more data at a much quicker rate.

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Author profile

Larry Anderson Editor, SecurityInformed.com & SourceSecurity.com

An experienced journalist and long-time presence in the US security industry, Larry is SourceSecurity.com's eyes and ears in the fast-changing security marketplace, attending industry and corporate events, interviewing security leaders and contributing original editorial content to the site. He leads SourceSecurity.com's team of dedicated editorial and content professionals, guiding the "editorial roadmap" to ensure the site provides the most relevant content for security professionals.

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The EU called for a ban on police use of facial recognition but not commercial use. Why?
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Dahua Technology shows how intelligent cameras enhance safety in nursing homes
Dahua Technology shows how intelligent cameras enhance safety in nursing homes

Patient falls in nursing homes are a serious problem. In the United States, for example, around 1,800 elderly people, living in nursing facilities, die each year from injuries related to falls, according to the Nursing Home Abuse Center. Those patients who survive their injuries often have a reduced quality of life and suffer some form of permanent disability. Rise in nursing home patient falls Figures show that between 50% and 75% of nursing home residents suffer falls each year, twice the chances of falling when compared to seniors who live in a regular residential community. It has been a prevalent challenge to detect falls quickly and effectively, especially when these occur in residents’ bedrooms. In the United Kingdom, the Care Quality Commission has recognised that the use of CCTV may be one of the best ways to ensure safety and quality of care. However, using video surveillance also brings into question other security issues, such as privacy and data protection. 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It then computes the ‘optical parallax’ of spatial points in the two images, providing 3D information of the scene. The stereo vision mimics the depth of view that comes from humans having two eyes, known as binocular vision. Combined with deep-learning algorithm Combined with a deep-learning algorithm, stereo analysis can recognise event patterns, such as falls and other movement-based behaviours, such as people approaching, the detection of an abnormal number of people in an area, and violent behaviour. In nursing and care homes, stereo analysis cameras can help staff monitor residents, in case of emergency and respond to residents’ problems, such as tripping and falls. The cameras can view all three dimensions of subjects and together with its deep-learning algorithm, can immediately alert staff to any unusual or sudden movement, such as would be evident in a fall. Cameras in communal areas and bedrooms With cameras situated both in communal areas and in bedrooms, the staff is able to respond quickly to incidents With cameras situated both in communal areas and in bedrooms, the staff is able to respond quickly to incidents, which may otherwise stay undiscovered for hours. An example of such a scenario is a nursing home in Singapore, which has a capacity of around 400 beds and is divided into 14 separate living environments, with each designed to be a home-like living area. Dahua cameras with intelligent fall detection technology Dahua cameras, such as IPC-HDW8341X-BV-3D with intelligent fall detection technology were installed, including the provision of 167 stereo analysis cameras inside each bedroom. These trigger an alarm, in the case of incidents, such as a fall, allowing immediate response by staff. Not only does this enhance the well-being and safety of residents, but it also can reduce the nursing home’s labour costs. 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It also offers additional occlusion options, such as irregular polygons, mosaics and coloured blocks, and allows code exporting based on specified targets, ensuring the privacy of subjects. Privacy and security in evidence collection Stereo video analysis and privacy protection come into their own in nursing homes and healthcare facilities Benefits offered include non-pixelated human targets, allowing for privacy and security in evidence collection. The technology also allows for face and human attributes analysis, without breaching people’s privacy, making it ideal for nursing homes. Stereo video analysis and privacy protection come into their own in nursing homes and healthcare facilities. It allows the close monitoring of residents or patients to help ensure their well-being and safety, while at the same time protecting the privacy of often vulnerable individuals. Dahua TechMonth As part of the Dahua TechMonth, this blog highlights how Dahua’s stereo analysis technology, combined with privacy protection, can provide a valuable tool to help staff respond to incidents quickly and efficiently, including falls, without infringing on people’s data protection rights. In the next blog, Dahua Technology will be discussing the WizMind application of human metadata, enabling users to maximise situational awareness and analysis of events. 

Eagle Eye’s Uncanny Vision deal highlights value of combining AI and cloud
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The trend of video customers moving to the cloud has reached a tipping point. At the same time, artificial intelligence (AI) is being adopted on a massive scale. Combining the two trends adds a higher level of value than either component individually. Merging the power of AI and the cloud is a driving force behind cloud surveillance company Eagle Eye Networks’ acquisition of Uncanny Vision, an AI and video analytics company headquartered in Bangalore, India. Expensive AI resources Cloud systems empower customers to leverage AI without having to install and program complicated and expensive hardware, in effect stripping away the barriers to entry that customers face when seeking to embrace AI. The cloud also enables customers to share expensive AI resources. One of the key components is ease of deployment – click, click and turn on the AI for any camera" Simplicity of implementation is crucial to the combined value proposition of Eagle Eye Networks and Uncanny Vision. “One of the key components is ease of deployment – click, click and turn on the AI for any camera (in a cloud system),” says Dean Drako, Eagle Eye Networks CEO. There is also a benefit of having AI systems networked, enabling 25 banks to perform facial recognition of customers from a single cloud-based system, he adds. A transition is also under way in the perception of AI. Video surveillance applications While previously it was seen as an add-on to surveillance systems, now it is seen as a very desirable feature on any system. “Centralised management of the cloud benefits the AI database,” says Drako. “In a project built around licence plate recognition (LPR), for example, all the data goes up to the cloud into a single database, and the customer can get a mobile view of everything going on across the world. You can’t do that without the cloud. And AI for LPR is more accurate.” Uncanny Vision’s targeted focus on AI for video surveillance applications was one factor that attracted Eagle Eye Networks to make the acquisition, says Drako. In contrast, some other companies have embraced broader applications of video AI. Uncanny Vision also has more customers using their system in real-world applications than competitors. Finally, the acquisition will help to expand Eagle Eye Networks’ presence in the LPR market, where Uncanny Vision is especially strong. Improving business operations The 60 employees at Uncanny Vision are mostly engineers and programmers Uncanny Vision’s deep learning algorithms enable recognition, identification, and prediction, improving business operations, customer service, and site safety. Applications include smart parking, retail, smart cities, ATM monitoring, worker safety and perimeter security. The 60 employees at Uncanny Vision are mostly engineers and programmers. “These guys understand how to translate AI algorithms to run very efficiently on various types of hardware,” says Drako. “They optimise how they get the code to run so we can implement in the cloud cost-effectively. They do it at a modest cost to make it more accessible. They understand how to deploy software for high performance on low-cost hardware.” For Uncanny Vision, the new ownership provides more reach. “We have a huge channel and a huge brand,” says Drako. “They are strong technical guys who need a sales and solution channel.” Video analytics solutions Even in light of the acquisition, Eagle Eye Networks will continue to provide a selection of third-party AI and video analytics solutions to customers. Use of AI and video analytics is specific to the application and business needs of each customer. Use of AI and video analytics is specific to the application and business needs of each customer In addition to AI functionality, systems need a ‘business logic’ component that drives how that capability is integrated into a system. System needs vary widely by vertical market, and many third-party vendors are focused on a specific vertical and how AI can benefit that market. Recurring monthly revenue “Third parties can provide analytics and the business logic, which is different for a factory, an office building or for a drive-thru restaurant,” says Drako. “The market is looking for many solutions, and one company couldn’t own a majority of them.” To ensure flexibility, Eagle Eye Networks will accommodate third party solutions, deploy their own analytics, or leverage analytics embedded in cameras. For Eagle Eye Networks’ dealer and integrator customers, the expansion into AI presents a new opportunity for recurring monthly revenue (RMR) and provides greater value to customers. Drako says the impact of the acquisition will be global as AI applications grow in popularity worldwide.