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Real time AI applications, which should be processed locally and securely, can be managed in AI Edge, not limited to below:deployed on top of the OTE. Below are some brief descriptions of the apps.
<use case 1: security Security monitoring>
Conduct smoke detection on densely populated places such as industrial parks and community properties to quickly detect whether there is a fire, reduce the damage caused by fire, and improve the safety of the park.
Real-time illegal/dangerous area intrusion detection to monitor whether there are any behaviors such as using mobile phones, making phone calls, falling, intruding into dangerous areas, and illegal parking of vehicles.
<use case 2: Classroom concentration analysis>
Conduct a full evaluation of the overall class and the concentration of individual students, help teachers and school authorities to fully understand the teaching situation, according to the concentration data of each course, conduct targeted class knowledge test and strengthen.
This application can accurately analyze the students' concentration in class in multiple dimensions, so as to comprehensively evaluate the teaching effect.
Based on the image information collected by the camera, this application can identify elements such as student behavior, expressions, micro-actions, objects, etc. in the classroom. It needs to arrange a camera in front of the classroom to collect video. And then it can automatically analyze the concentration of students and feedback various behavior statistics to the school management system in real time.
<use case 3: Backtracking of suspicious persons>
The video surveillance application can target suspicious persons or objects entering the school through the support of the OTE platform. It can automatically record and generate the trajectory of suspicious target, follow the target rotation and trigger the alarm operation.
Where on the Edge
Business Drivers
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The below image shows the overall architecture for using ICD IEC as edge infrastructure in AI Edge.
Platform Architecture
The detailed platform architecture of AI Edge blueprint is shown in the below diagram.
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