Security Business

JUN 2019

Find news and information for the executive corporate security director, CSO, facility manager and assets protection manager on issues of policy, products, incidents, risk management, threat assessments and preparedness.

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June 2019 / www.SecurityInfoWatch.com / Security Business 37 There are two kinds of databases used with AI: Static databases mean that a user must manually import information into the system, such as uploading photos from student IDs. The camera would then be able to match student ID photos to the surveillance images it is capturing of the students. A dynamic database enables the camera to take snapshots of each face it views and input them into a database it creates automatically. In both cases, the camera can then keep track of each time the same face appears in the scene. A system using machine learning or deep learning is expanding its capabilities over time. Case in point: When voice-activated assistants were first introduced, they could only answer questions they had been programmed to answer; however, once they had been in use for a few years, they incorporated both the answers from their original programming and the answers to all new questions they had no answer to. In other words, their data set increased, and so too did the chance they would know the answer to a question. Translating this into a video surveillance scenario means that machine learning and deep learning are continually improving the accuracy of things like facial recognition. AI-Powered Facial Recognition Facial recognition has numerous potential applications in school environments, such as identifying a stranger who has never been in the school before, or a stranger who has been lingering around the campus. The security system can be configured to send alerts when a person has entered a restricted area. If someone is banned from the library, for example, the camera will notice if they decide to visit the library anyway. On the flip side, facial recognition can discern the people who are permitted in the space – for example, specialized turnstiles integrated with cameras can identify the students who are scheduled to be in the library during a certain class period and grant them access accordingly. This type of system is more efficient than having an employee ask for student IDs and manually check them in; and it is more secure than RFID, where students can lose their keycards or loan them to other students. Other AI-Powered Functions in Schools While facial recognition is a feature that many usually associate with AI, the technology is being implemented within other intelligent video analytics. Perimeter detection benefits from AI, as the technology behind tripwire and line crossing functionality is becoming more precise. Machine learning comes into play here, helping reduce Facial recognition has numerous potential applications in a school environment, such as identifying a stranger who has never been inside the school before, or a stranger who has been lingering around the campus. It's All in the Details Offering you expertise and exceptional service every step of the way. Our capabilities are numerous and we are keen on providing you with not only quality products, but expert support and advice as well. Our trained sales associates, vast inventory, strategic shipping locations ensure that we are your best source for security door hardware. www.jlmwholesale.com Request information: www.SecurityInfoWatch.com/10214128

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