As the Internet of Things (IoT) and other trends drive the convergence of physical and information security, integrators and end users attending ISC West may be struggling to keep pace with new areas of responsibility and expanding roles in the larger security ecosystem. Help is here.

The Connected Security Expo, co-locating with ISC West, focuses on building a holistic security strategy for the connected enterprise. Exhibitors will focus on how physical and information security can be used together to mitigate new and emerging cyber-threats in a hyper-connected world. Connected Security Expo provides attendees access to cutting-edge products and technology in both the physical and IT secure realms. It is clearly a growth factor in the market. Here’s a look at some of the companies on display in the 2019 Connected Security Expo:

Integrated video cloud service

The AI-powered video analysis software suite delivers high-speed object search and facial classification

Arcules provides the Arcules integrated video cloud service, which combines untapped video and sensor data with the latest technologies in cloud, artificial intelligence, and machine learning to deliver actionable business and security intelligence for modern organisations.

The cloud-based service is designed to ensure security, scalability, streamlined operations, and bandwidth management — all from a single, easy-to-use interface.

Hardware-accelerated solutions

BrainChip Inc. is a global developer of software and hardware-accelerated solutions for advanced artificial intelligence (AI) and machine learning applications.

The AI-powered video analysis software suite delivers high-speed object search and facial classification for law enforcement, counter terrorism and intelligence agencies.

PSIM software platform

CNL Software Inc. is an open, adaptable, scalable and secure Physical Security Information Management (PSIM) solutions provider.

The IPSecurity Center PSIM software platform helps law enforcement, government agencies, the military, public and private critical infrastructure, transportation networks, corporations and campuses to integrate, automate and manage systems, allowing better security intelligence and improved operational efficiency.

Facial recognition software

IOmniscient Corp. provides facial recognition software that can recognise multiple faces even in crowded and uncontrolled scenes

IOmniscient Corp. provides facial recognition software that can recognise multiple faces even in crowded and uncontrolled scenes.

Matching faces with an existing database, the system can detect an unauthorised person and track him or her across non-overlapping cameras.

Enhance situational awareness

Oncam offers 360 and 180-degree video technology. The company has the largest range of wide-angle cameras that are open platform and easy to integrate.

Unique dewarping technology allows the creation of award-winning video solutions for stakeholders from the C-suite to the security officer in wide range of industry segments. Oncam’s products greatly enhance situational awareness.

Enterprise-class security

Pivot3 is a provider of intelligent solutions using hyperconverged infrastructure.

Pivot3’s intelligent infrastructure is optimised to deliver performance, resilience, scalability and ease-of-use required for enterprise-class security, video surveillance and IoT deployments.

Electronic physical security

The UL 2900-1 standard offers general requirements for software cybersecurity for network-connectable productsUL LLC is working to increase the prominence of the Underwriter Laboratories brand in cybersecurity with the UL Cybersecurity Assurance Program (CAP). The UL 2900-1 standard, the standard that offers general requirements for software cybersecurity for network-connectable products, was published in 2016 and in July 2017 was published as an ANSI (American National Standards Institute) standard.

The standard was developed with cooperation from end users such as the Department of Homeland Security (DHS), U.S. National Laboratories, and other industry stakeholders. UL 2900-2-3 – the standard that focuses on electronic physical security/life safety & security industry, was published in September 2017.

Proactive automated system

Viakoo is a provider of the security industry’s first proactive automated system and data verification solution.

Create significant value

Vidsys is innovating and accelerating a transition to Converged Security and Information Management or CSIM.

The company is committed to educating and supporting customers with their evolving needs to provide a more holistic view of risk and throughout the overall business process re-engineering necessary to create significant value across the entire organisation.

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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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Panasonic AI-driven cameras empower an expanding vision of new uses
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Panasonic feels that these types of intelligent camera applications are also the basis for automation and introduction of Industry 4.0, in which processes are automated, monitored and controlled by AI-driven systems. 4K network security cameras The company’s i-PRO AI-capable camera line can install and run up to three AI-driven video analytic applications Panasonic’s 4K network security cameras have built-in AI capabilities suitable for this next generation of intelligent applications in business and society. The company’s i-PRO AI-capable camera line can install and run up to three AI-driven video analytic applications. The AI engine is directly embedded into the camera, thus reducing costs and Panasonic’s image quality ensures the accuracy of the analytics outcome. FacePRO facial recognition technology Panasonic began advancing AI technology on the server side with FacePRO, the in-house facial recognition application, which uses AI deep learning capabilities. Moving ahead, they transitioned their knowledge of AI from the server side to the edge, introducing i-PRO security cameras with built-in AI capabilities last summer, alongside their own in-house analytics. Moreover, in line with the Panasonic approach to focus more on collaboration with specialist AI software developers, a partnership with Italian software company, A.I. Tech followed in September, with a range of intelligent applications, partially based on deep learning. Additional collaborations are already in place with more than 10 other developers, across the European Union, working on more future applications. i-PRO AI-capable security cameras Open systems are an important part of Panasonic’s current approach. The company’s i-PRO AI-capable cameras are an open platform and designed for third-party application development, therefore, applications can be built or tailored to the needs of an individual customer. Panasonic use to be a company that developed everything in-house, including all the analytics and applications. “However, now we have turned around our strategy by making our i-PRO security cameras open to integrate applications and analytics from third-party companies,” says Gerard Figols, Head of Security Solutions at Panasonic Business Europe. Flexible and adapting to specific customer needs This new approach allows the company to be more flexible and adaptable to customers’ needs. “At the same time, we can be quicker and much more tailored to the market trend,” said Gerard Figols. He adds, “For example, in the retail space, enabling retailers to enhance the customer experience, in smart cities for traffic monitoring and smart parking, and by event organisers and transport hubs to monitor and ensure safety.” Edge-based analytics offer multiple benefits over server-based systems Edge-based analytics Edge-based analytics offer multiple benefits over server-based systems. On one hand, there are monetary benefits - a cost reduction results from the decreased amount of more powerful hardware required on the server side to process the data, on top of reduction in the infrastructure costs, as not all the full video stream needs to be sent for analysis, we can work solely with the metadata. On the other hand, there are also advantages of flexibility, as well as reliability. Each camera can have its own individual analytic setup and in case of any issue on the communication or server side, the camera can keep running the analysis at the edge, thereby making sure the CCTV system is still fully operational. Most importantly, systems can keep the same high level of accuracy. Explosion of AI camera applications We can compare the explosion of AI camera applications to the way we experienced it for smartphone applications" “We can compare the explosion of AI camera applications to the way we experienced it for smartphone applications,” said Gerard Figols, adding “However, it doesn’t mean the hardware is not important anymore, as I believe it’s more important than ever. Working with poor picture quality or if the hardware is not reliable, and works 24/7, software cannot run or deliver the outcome it has been designed for.” As hardware specialists, Figols believes that Panasonic seeks to focus on what they do best - Building long-lasting, open network cameras, which are capable of capturing the highest quality images that are required for the latest AI applications, while software developers can concentrate on bringing specialist applications to the market. Same as for smartphones, AI applications will proliferate based on market demand and succeed or fail, based on the value that they deliver. Facial recognition, privacy protection and cross line technologies Panasonic has been in the forefront in developing essential AI applications for CCTV, such as facial recognition, privacy protection and cross line. However, with the market developing so rapidly and the potential applications of AI-driven camera systems being so varied and widespread, Panasonic quickly realised that the future of their network cameras was going to be in open systems, which allow specialist developers and their customers to use their sector expertise to develop their own applications for specific vertical market applications, while using i-PRO hardware. Metadata for detection and recognition Regarding privacy, consider that the use of AI in cameras is about generating metadata for the detection and recognition of patterns, rather than identifying individual identities. “However, there are legitimate privacy concerns, but I firmly believe that attitudes will change quickly when people see the incredible benefits that this technology can deliver,” said Gerard Figols, adding “I hope that we will be able to redefine our view of cameras and AI, not just as insurance, but as life advancing and enhancing.” i-PRO AI Privacy Guard One of the AI applications that Panasonic developed was i-PRO AI Privacy Guard Seeking to understand and appreciate privacy concerns, one of the AI applications that Panasonic developed was i-PRO AI Privacy Guard that generates data without capturing individual identities, following European privacy regulations that are among the strictest in the world. Gerard Fogils said, “The combination of artificial intelligence and the latest generation open camera technology will change the world’s perceptions from Big Brother to Big Benefits. New applications will emerge as the existing generation of cameras is updated to the new open and intelligent next generation devices, and the existing role of the security camera will also continue.” Future scope of AI and cameras He adds, “Not just relying on the security cameras for evidence when things have gone wrong, end users will increasingly be able to use AI and the cameras with much higher accuracy to prevent false alarms and in a proactive way to prevent incidents." Gerard Fogils concludes, “That could be monitoring and alerting when health and safety guidelines are being breached or spotting and flagging patterns of suspicious behaviour before incidents occur.”

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