People Detecting and Counting System

This abstract describes a system that interfaces an Arduino microcontroller with Python through serial communication to display data on an LCD screen. The system utilizes a PC-connected camera to detect the number of people present in a video frame. The detected data is then sent to the Arduino for display on an LCD module. The Python code in this system employs computer vision techniques to analyze the video stream and detect the presence of individuals within the frame. This is achieved by utilizing machine learning models or image processing algorithms. Once the number of people is determined, the Python program establishes a serial communication link with the Arduino microcontroller.

The Arduino, acting as a display controller, receives the data over the serial connection and interprets it. Subsequently, the Arduino communicates with the connected LCD screen to update and display the detected number of people. This integrated system offers a user-friendly and informative way to monitor and display the presence of individuals within the camera's field of view. Overall, this project showcases the seamless interaction between Python and Arduino, demonstrating how they can collaborate to collect data from a remote source (the camera) and present it on a local output device (the LCD screen). This system has potential applications in various domains, including security monitoring, occupancy tracking, and visitor management systems.

Keywords: Arduino, USB camera, LCD