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Name: Ashwala Ravi Teja
Type: User
Name: Ashwala Ravi Teja
Type: User
This project detects the social distance in public, and if the distance between the people is less than the threshold distance, it shows the number of violations in that frame of a video. In this project, there is a comparison between the optimised version that used the Intel OpenVINO toolkit and the unoptimized version without using OpenVINO.
Team Members: Mrityunjaya Tiwari Raunak Singh Rathore Pravallika Kodi Manish Kumar
This project detects the social distance in public, and if the distance between the people is less than the threshold distance, it shows the number of violations in that frame of a video. In this project, there is a comparison between the optimised version that used the Intel OpenVINO toolkit and the unoptimized version without using OpenVINO.
The object of our project is to develop an intelligent traffic management system based on image processing and machine learning techniques to collect the traffic data(basically a video stream) and monitor accordingly to avoid big jams and accidents. It will provide a distributed way of traffic maintenance and detects the traffic density and chaos level too.
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