Deep North using the AI prevention of school violence and other security issues

Deep North using the AI ​​prevention of school violence and other security issues

Source: ATYUN AI platform 

Deep North (formerly VMAXX) is a company with offices in China, Sweden and Silicon Valley start-up companies, hoping to use AI to prevent violence and other security issues facing the school. Today, the company announced a plan, the project will provide an opportunity for selected institutions to conduct field tests of its threat detection object recognition and computer vision technology.

It has partnered with Texas, Florida, Massachusetts and California school districts and universities, and supported by US Congressman Pete Sessions (R-TX) is. Sessions said in a statement: "AI represents one of the few possible ways to make the school become secure and more affordable than any other way of way."

And Rekognition Amazon Web Service, except IBM's Watson Visual Recognition and Microsoft's Azure Face API, Deep North platform smart layer applied to conventional ready-made security cameras (resolution up to 320p), analysis lens that monitors, detects and within the framework of interpreting the behavior and movement of people across settings, and identify objects that pose hazards to students and staff, such as unattended bags or look like weapons and objects.

When they find a potential threat, school administrators will receive an alert.

This patent-pending technology was originally designed for the retail entity, which uses a camera to track across the crowd to scan and monitor "areas of particular concern", such as inlets, outlets and gathering area. Any personally identifiable information (due based on the physical characteristics of the digital label system) Deep North claims that its technology will not be shared student or teacher, and that it can also be used to prevent the abduction, improve the layout of facilities and infrastructure, as well as manage pedestrian traffic.

Deep North Michael Adair, president and chief executive officer, said: "We see the video AI and deep learning expertise can also bring to school safety value, which is unexpected, eye-opening use of our solutions. schools can automate and amplify something to human security unmatched way to say something, the school can not bear the high costs of the case to improve their safety and security had to take stress-induced metal detectors and other measures, this is no easy task. "

Such systems already appeared earlier this year, a high school in eastern China began testing a smart classroom behavior management system, which uses facial recognition to analyze student participation in real time. Paris business school using the LCA study provide Nestor AI and facial analysis to determine whether students in paying attention in class.

At the same time, companies such as Shielded Students want to use the camera and integrated microwave radar scanner and computer vision software to recognize schools firearms and other hidden weapons.

But surprisingly, such systems have their critics. Critics say little data to assess public schools in AI-driven monitoring system is valid. They pointed out that facial recognition AI is particularly vulnerable to prejudice and false positives.

Rick Smith, CEO of Axon is one of the largest suppliers of camera body, this summer he said, law enforcement applications for facial recognition is not accurate enough.

But Adair expressed confidence in the accuracy of the Deep North system, and it is possible to achieve real benefits. "We look forward to expanding our efforts through the program and help more schools nationwide to strengthen security, reduce security risks and better protect their students and teachers in the long run, we are proud to provide behind the scenes, options aspects of software-driven leader, this option can really work over the long term and in the near future. "

This switched ATYUN artificial intelligence media platforms, the original link: Deep North use of AI prevention of school violence and other security issues

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