Controversy over facial recognition tech grabs headlines as GSX 2019 opens

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Controversy over facial recognition tech grabs headlines as GSX 2019 opens | #TpromoCom #VideoSurveillance #FacialRecognition #Security #GSX | Despite advancements in technology and expanding applications, many ethical and legal questions still surround the technology’s use.

GSX 2019 began this week with several of the ASIS Councils meeting to discuss objectives, succession planning and the new move to “virtualizing” interest in the ASIS Council verticals through “communities” or ASIS International’s version of member-accessed user forums. In this more centralized Council focus, deliverables are made more widely accessible to the membership, improving value.

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Day 1 of the conference had a number of unique education sessions, with one about “Managing Diverse Collections of Visual Data,” or how video surveillance and acoustic detection continues to present law enforcement with a staggering amount of information. Public/private partnerships leverage industrial IP camera systems for NGOs to securely share digital multimedia content with agencies.

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An Outdoor Video Surveillance System that Thinks and Acts Like a Human

An Outdoor Video Surveillance System that Thinks and Acts Like a Human | #Memoreyes #TpromoCom #VideoSurveillance #AI | I’d like to tell you about a new, revolutionary outdoor CCTV product that is like none other. I use the word “revolutionary” because it is just that. It leverages the use of quality Megapixel/HD quality, pan-tilt-zoom cameras with machine learning and an entirely newly developed series of audio, thermal, and radar-oriented sensors. Add to that an AI (Artificial Intelligence)-based learning control platform and you have an almost human-like control system with Big Data analysis. http://bit.ly/2KKKhEc

The focus of this new tech is outdoor protection. It uses thermal, sound, and radar to focus in on moving targets, along with a Smartphone app that stakeholders can use to alert the system when there’s a potential problem of an immediate nature. Cameras automatically  follow targets, which is not entirely new, but that’s just the beginning of the story.

The uniquely developed sensors allow the system to hear, see, and detect what the camera cannot see using a variety of unique sensors that truly makes this system revolutionary. Interaction between this interactive, integrated video surveillance system and stakeholders is audio/visual in nature, further deterring would-be assailants. 

Currently the system operates using a unique machine learning system, but an AI (Artificial Intelligence) processing system is now in the works and will soon be incorporated, giving the system the ability to react with even more speed and intelligence. Through Big Data analysis, over time the system will learn the habits and trends associated with each camera within each specific setting, thus enabling the system to  quickly identify departures from the norm. There’s more. 

I’d like to propose a complementary story on the tech with a short interview with the developer, who happens to be John Collings, the former inventor and developer of Uplink. A sidebar will delve into the advancements in AI and how they will be leveraged to make this new technology a must-have for office complexes, shopping malls, multiple-tenant housing, industrial complexes, chain stores, etc. 

Email us for more information: click here!

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Underestimated Risk & Overestimated Security: When All You Do Is React, it May Be Too Late

Underestimated Risk & Overestimated Security: When All You Do Is React, it May Be Too Late | #TpromoCom #AI #Webinar #Security | For decades, IT professionals have been fighting malware, hackers, and other threats. Data protection, confidentiality, integrity and availability have long been threatened not only by amateur hackers, but by profit-oriented, well-organised criminals. Victims can usually only react because many of the usual methods for detecting malware require knowledge about specific attack techniques, about the behavior or about signatures of specific malware families.

Artificial intelligence (AI) in cyber security shows how things can be done differently – predictively and preventively. In this webcast, Jan Tietze of Cylance explains how you can stay one step ahead of attackers and protect yourself against tomorrow’s threats. Watch to learn more about:

  • What makes security solutions with AI so special;
  • What the mathematical approach in security tools is all about;
  • How to detect attackers and automate your response;
  • Why your company in particular can benefit from AI security.

To enroll in this event, click here.

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Camvi Technologies Ranked #1 by NIST in Advanced Face Recognition

Camvi Technologies Ranked 1 by NIST in Advanced Face Recognition | #TpromoCom #Camera #FacialRecognition #VideoSurveillance | Camvi Technologies announced today that its advanced face recognition technology was ranked #1 for Wild Image accuracy in the most recent Face Recognition Vendor Tests (FRVT) conducted by the National Institute of Standards and Technology (NIST). (Please scroll down)

Camvi Technologies announced today that its advanced face recognition technology was ranked #1 for Wild Image accuracy in the most recent Face Recognition Vendor Tests (FRVT) conducted by the National Institute of Standards and Technology (NIST).

FRVT provide independent government evaluations of commercially available and prototype face recognition technologies. These evaluations are designed to provide U.S. Government and law enforcement agencies with information to assist them in determining where and how facial recognition technology can best be deployed. In addition, FRVT results help identify future research directions for the face recognition community.

FRVT measure the performance of face recognition technologies that are applied to a wide range of civil, law enforcement, and homeland security applications. The FRVT report includes measurements of accuracy, speed, storage and memory consumption, and resilience.

In the FRVT report released by NIST on November 15, 2018, Camvi’s face recognition algorithm was ranked #1 in the world as the most accurate algorithm for the Wild Image dataset among algorithms submitted by 56 companies. Unconstrained wild images are the most challenging for face recognition, as they represent every day real-world images, as seen in surveillance footage and photojournalism. Wild images, as stated in the report, have resolution that varies very widely and are very unconstrained, with wide yaw and pitch pose variation. Wild image faces can also be occluded, including hair and hands. In addition to its industry-leading accuracy, Camvi’s face recognition technology is among the fastest and most scalable in the world.

“We are very pleased that our advanced face recognition technology was recognized by NIST as a top-ranking technology,” said John Chen, President and Chief Executive Officer of Camvi Technologies Inc. “We have put a tremendous amount of effort into developing the fastest, most accurate and most scalable face recognition technology and our efforts were reflected in the latest FRVT results. We are very confident of the immediate and broad applicability of Camvi’s solutions in a wide range of applications.”

Camvi’s state-of-the-art, patent pending face recognition technology was recently chosen and showcased at the 51st ASEAN Foreign Ministers’ Meeting in Singapore in August 2018. Camvi’s core technology is embedded in its integrated suite of products including CamviServer, CamviEdge and CamviClient.

About Camvi Technologies Inc.

Camvi Technologies, headquartered in Palo Alto, California, U.S., is an Artificial Intelligence company specializing in face recognition technologies. Camvi delivers large-scale, real-time face recognition solutions powered by AI to government and enterprises, in areas of Public Safety, Access Control, Border Security, Video Surveillance, Defense, Law Enforcement, Identity Management and more. Camvi’s unrivaled speed and scalability enables searching against billions of faces to be performed within a second, while maintaining industry-leading accuracy. Camvi’s Enterprise, Edge, and OEM solutions are highly adaptable, enabling easy integration with existing infrastructure and solutions.

Learn more about Camvi

Website: http://www.camvi.com
Follow on LinkedIn: http://www.linkedin.com/company/camvi-technologies/

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Reaping the benefits of automation and artificial intelligence

Reaping the benefits of automation and artificial intelligence | #TpromoCom #AI #ArtificialIntelligence #Automation | According to a study done by PwC, ‘Sizing the prize’ (2017), it is estimated that up to 14 percent of global GDP will be attributable to smart automation by 2030, an equivalent of $15 trillion in today’s economy. (Please scroll down)

On the flip-side, the landscape of the labour force is set to drastically change as automation takes over people’s jobs, leading to increased unemployment and redundancies.

With that in mind, the responsibility falls upon us as human beings to maximize on the positives and minimise on the negatives that this drastic change will most certainly bring. According to research conducted by PwC economists, building on that done by Frey and Osborne (Oxford University, 2013), automation of jobs in the years leading to the 2030s will occur in three successive waves namely the algorithm wave, the augmentation wave and the autonomy wave.

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FAA bill to impact security industry

FAA bill to impact security industry | #TpromoCom #FAA #Security #Drones #Government |  Bill sets policies for not just drones but security technology as well. President Trump signed into law on Oct. 5, H.R. 302, the FAA Reauthorization Act of 2018, a bill that provides a roadmap for FAA-related policies, programs and procedures that will impact the security industry in a number of ways, from the use of counter-drone measures to the expanded use of CCTV and biometric technology within airports.

Included in the new law is the Preventing Emerging Threats Act, which was a 2018 policy priority for the Security Industry Association, according to Joseph Hoellerer, government relations manager for SIA.

“Prior to the Preventing Emerging Threats Act being incorporated into the FAA reauthorization, there was a lot of legal uncertainty as to what DHS and DOJ could or could not do with counter-UAS [unmanned aircraft systems] technology and measures,” Hoellerer told Security Systems News, noting that the bill now provides DOJ and DHS with legal authority to counter UAS threats.

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G4S Launches Security Risk Management Model

G4S Launches Security Risk Management Model | #TpromoCom #Security #Business #Marketing | Providing insight into the return on your security investment www.g4s.us

September 13, 2018, Jupiter, FL — G4S, the world’s leading integrated security company, introduces the G4S Security Risk Management Model, a risk-based, data-driven approach to oversee enterprise security management. G4S helps businesses learn how to mitigate risk through a suite of software tools developed in partnership with industry experts and Georgia State University’s Center for Process Innovation. (please continue to scroll)

Security Risk Management Model

To build this tool, G4S went outside the security industry and worked with an academic partner, the Georgia State University Center for Process Innovation, to help them look at the issue from a completely new perspective. Using an Effects-Based Design planning method, G4S developed a comprehensive, consistent, and easy-to-use model that takes security risk management to a whole new level.

Through analyzing a customer’s risks and evaluating their resources, G4S and its related business units work together to deliver a resolution with proven methodology, backed by expertise, experience and research.

“Our Security Risk Management Model uses researched-backed tools, combined with our highly trained Risk Management team, to deliver a customized security program that helps our clients prevent, contain and recover from risk,” said John Kenning, Regional CEO, G4S Americas. “We help our clients determine what their risks are and where to focus more resources to improve security.”

Security risk management is the backbone of a security program. It provides a holistic approach to optimizing an entire security program, helping to identify obstacles to security risk issues, while providing insights into the potential return on investment.

The G4S risk-based approach through the Security Risk Management Model minimizes threats by addressing risks in proportion to their size and complexity. G4S works with clients to determine every resource they want to protect, the potential risks to these resources, and possible resolutions to mitigate the risks. After completing the assessment, clients can choose the level of service that fits their organization’s security risk management needs.

For more information visit www.g4s.us or email info@usa.g4s.com.

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How to train your network: the role of artificial intelligence in network operations

How to train your network: the role of artificial intelligence in network operations | #TpromoCom #AI #ArtificialIntelligence #Network #IT | A network that can fix and optimize itself without human intervention could become a reality soon – but not without some training. With the help of machine learning and artificial intelligence, software-defined networks can learn to help with network management by using operational data.  Initial application of AI to WAN operations includes security functions such as DDoS attack mitigation as well as near real-time, automated path selection, and eventually AI-defined network topologies and basic operations essentially running on ‘auto-pilot’.

Enhancing IT operations with artificial intelligence (AI), including configuration management, patching, and debugging and root cause analysis (RCA) is an area of significant promise – enough so that Gartner has defined the emerging market as “AIOps”. These platforms use big data and machine learning to enhance a broad range of IT operations processes, including availability and performance monitoring, event correlation and analysis, IT service management, and automation (Gartner “Market Guide for AIOps platforms,” August 2017).

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