Aug 13, 2018 · Use case: counting the number of people in the stores/buildings/shopping malls etc., in real-time. Sending an alert to the staff if the people are way over the limit. Automating features and optimising the real-time stream for better performance (with threading).

Aug 13, 2018 · This tutorial will teach you how to build a people counter using OpenCV, Python, and object tracking algorithms. Using the OpenCV library we'll count the number of people moving "in" and "out" of a store.

OpenCV and Python is used to implement and predict the crowd count. For object detection, we work with a webcam and calculate the Frames Per Second (FPS) throughput rate. When working on this problem the first two constraints to think of is capability with FPS and Accuracy.

We need to count the number of people in a crowd and we have used the opencv_traincascade but it detects many things. What could be the other approach we can use?

Oct 18, 2024 · In this article, we’ll walk through how to build a people counter using YOLOv8 (You Only Look Once, version 8) for object detection and OpenCV for processing video frames. We’ll also use a custom...

Nov 28, 2022 · This page includes the complete Python code for an OpenCV project that counts the people in a crowd. Here, we break down the code's crucial parts so you can understand them better—first, import all the necessary libraries that will be used later in the code.

May 20, 2021 · Real-Time Counting People using OpenCV in Python With Source Code. The Real-Time Counting People OpenCV Python was developed using Python OpenCV, in this Python project we are going to build the Human Detection and Counting System through a Webcam or you can give your own video or images.

To use this crowd counting system, follow these steps: Install the necessary libraries and dependencies, including TensorFlow, OpenCV, and DarkFlow. Configure the YOLO model (either YOLOv2 or YOLOv3) for people detection. Pre-trained weights can be used, or you can train the model on custom data for specific environments.

Real-Time Crowd Counting using OpenCV Python . Video-Based People Counting leverages neural networks to provide accurate and real-time counts of people within a designated area. This application analyzes video footage, ensuring precise counting even in crowded or …

This project provides a real-time people counting system using computer vision. It tracks individuals in video streams, featuring centroid tracking, vertical line crossing detection, and confidence metrics. Built with Python and OpenCV, it’s scalable for crowd monitoring, security, and occupancy control. - ZaidGIT/Real-Time-People-Counting