SOCIAL DISTANCING DETECTOR USING IMAGE PROCESSING AND DEEP LEARNING TECHNIQUE
Image Processing and Deep Learning Technique – Public distribution has proven to be the most effective strategy in the fight against COVID-19 for halting the disease’s spread. People are recommended to engage less so there is less danger of the virus spreading through physical contact or close proximity.
In the past also AI / Deep Learning has shown promising results in a number of everyday life problems. In this proposed program we will see a detailed description of how we can use Python, Computer Vision and in-depth learning to monitor community distances in public and workplaces. Ensuring regulation of public orientation in the workplace and in the workplace, a remote detection tool that can monitor if people keep a safe distance from each other by analyzing real-time video streaming from the camera, People Monitoring in the workplace, industries, stores that we can cover. this tool in their security camera systems and can monitor whether people keep a safe distance from each other or not.
Ensuring regulation of public orientation in the workplace and in the workplace, a remote detection tool that can monitor if people keep a safe distance from each other by analyzing real-time video streaming from the camera, People Monitoring in the workplace, industries, stores that we can cover. this tool in their security camera systems and can monitor whether people keep a safe distance from each other or not.