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Real-time traffic analysis based on a video from a camera of observation. Fixation of the direction, type and speed of the vehicle. Visualization of results using different graphs.

The system receives streaming from an IP camera or recorded video. The images are transferred to the YOLOv3 detector. Information about detected objects is transmitted to the motion-based multy object tracker, to combine detected objects on individual images in the trajectory and the filtration of false detections. The information is recorded in the PostgreSQL BD through psycopg2.

With OpenCV2 the image is built with graphics, with streaming to the screen. You can also record the video.

With Pandas, Matplotlib and OpenCV2 information from BD is visualized according to different rules.
Work details
Added 5 October 2020
334 views
Freelancer
Vladimir Vydrin
Ukraine Kyiv  1  0

Very busy Very busy
1 Safe completed
On the service 10 years