Project: Monitoring COVID-19 Physical Distancing Using Vision-Based Human Detection - Python, Yolo & RGB camera
Description: Physical distancing is crucial for preventing the spread of contagious illnesses such as COVID-19 (coronavirus). COVID-19 can spread through coughing, sneezing and close contact. By minimizing the amount of close contact with others, we reduce our chances of catching the virus and spreading it to our loved ones and within our community. Physical distancing is the practice of purposefully reducing close contact between people by avoiding the crowded scene. This can be practice by maintaining a distance of about at least 6 feet from others when possible. Motivated by this notion, this research will propose a vision-based deep learning framework for automating the task of monitoring physical distancing using surveillance video. The proposed framework will perform the human detection model to segregate humans from the background and track the identified people with the help of bounding boxes and assigned IDs. The violation index term will be proposed based on the crowd density measure to quantify the non adoption of social distancing protocol.
Should use Python to explore the knowledge of computer vision and machine learning. The final outcome of this project is expected to be a software-based implementation with a graphical user interface to connect with an RGB android mobile camera.
Tell me what Yolo version you are using*
For the detection use yolo method
For the neural network need for sample video (find in gdrive link)
The simulation only for the recorded video, Not in the real-time
Attached article related to our work right for the methodology and experiment part
Download project proposal and refrnc: [login to view URL]
Download videos and images for the model from gdrive here: [login to view URL]
Should provide Codes, Exe files and remote support
Tell me how long it will take to complete (Start immediately and give progress every day)
10 freelances font une offre moyenne de 142 $ pour ce travail
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