How to Control Crowds with Python, OpenCV and InfluxDB

The article discusses how Python, OpenCV (Open Source Computer Vision Library), and InfluxDB can be used together to control crowds by detecting faces and counting them in real-time. This technology has numerous applications such as tracking the number of people entering a store or passing through an avenue, understanding customer behavior, and overseeing crowds for public safety during a pandemic. The code for this project is available on GitHub, and it involves setting up InfluxDB to receive data from OpenCV face detection. This solution can be used in various scenarios like controlling traffic flow on highways or avenues, monitoring crowd movement in parks, restaurants, or fairs, and ensuring public safety during a pandemic.