Computer Vision Projects

Explore computer vision projects for engineering students, including object detection, image recognition, face recognition, video analysis, and real-time computer vision applications using Python and OpenCV.

People counting using YOLO and CNN with Python for real-time crowd detection

People Counting with YOLO | Crowd Counting using CNN

Introduction People counting using YOLO is an exciting computer vision project that helps detect and count people in images and video streams using artificial intelligence. This project is suitable for final-year B.Tech, B.E., computer science, artificial intelligence, and data science students who want to explore object detection, deep learning, and real-time video analytics. The People

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Smart bus passenger counter using YOLO and Python

Smart Bus Passengers Counter using Yolo | People Counting in Real Time

People Counting using OpenCV Python Smart Bus Passenger Counter Using YOLO | Real-Time People Counting Project Introduction The Smart Bus Passenger Counter Using YOLO is a computer vision project that uses Python and object detection techniques to identify and count people in a bus environment. This project demonstrates how real-time passenger counting can help explore

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Crowd counting using YOLO for person detection with Python

Crowd Counting Using YOLO | Python Computer Vision Project

Introduction Crowd counting using YOLO is a computer vision project that uses object detection to identify people in images or video frames and estimate the number of people present. Developed using Python and YOLO (You Only Look Once), this project demonstrates how deep learning can support automated people detection and crowd analysis. This project is

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People counting using OpenCV Python with people detection bounding boxes

People Counting Using OpenCV Python | Computer Vision Project

Introduction People counting using OpenCV Python is a computer vision project that detects and counts people in images or video streams using image processing and object detection techniques. This project is useful for students who want to explore artificial intelligence, video analytics, automation, and real-time computer vision applications. In public places such as shopping malls,

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People Counter Using YOLO and OpenCV

People Counter using Yolo OpenCV | Real-Time Crowd Counting using OpenCV Python

Introduction A people counter using YOLO and OpenCV is a computer vision project that detects and counts people from images or video in real time. The system uses the YOLO object detection model to identify people and OpenCV to process video frames and display the counting results. Real-time people counting can be useful for monitoring

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Virtual try on clothes using computer vision project with Python

Virtually Try on Clothes with a new ai shopping website | IEEE Projects for CSE

Introduction The virtual try on clothes using computer vision project is an AI-powered application that allows users to preview how clothing may look on a person through a digital interface. Developed using Python and image processing techniques, this project demonstrates how computer vision can support modern online shopping experiences and virtual clothing visualization. This final-year

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Virtual try-on clothes project using Python and computer vision

Virtual Try On Clothes Project Code | Shirt Try On using Computer Vision

Introduction The virtual try-on clothes project using computer vision is an innovative AI-based application that allows users to visualize how clothing may look on them without physically wearing it. This project combines computer vision, image processing, and Python to explore how virtual clothing visualization can improve online shopping experiences. It is an excellent choice for

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Vehicle detection and counting using Python OpenCV project

Vehicle Detection and Counting using Python OpenCV | Final Year Major Project for CSE

Introduction Vehicle detection and counting using Python OpenCV is a computer vision project that identifies vehicles in video footage and counts them automatically. This project is suitable for B.Tech, B.E., computer science, artificial intelligence, machine learning, and final-year engineering students who want to explore real-world traffic monitoring applications. With the increasing use of intelligent transportation

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Car number plate detection using Python, OpenCV and YOLO

Car Number Plate Detection Using Python | OpenCV and YOLO Project

Introduction Car number plate detection using Python is a computer vision project that demonstrates how vehicle license plates can be located in images or video footage using image processing and object detection techniques. By combining Python with OpenCV and YOLO, students can explore how a system identifies vehicle number plate regions and prepares them for

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Car number plate detection using Python with automatic number plate recognition

Car Number Plate Detection Using Python | ANPR Project for Final-Year Students

Introduction Car Number Plate Detection Using Python is a computer vision project that demonstrates how vehicles’ license plates can be detected and their characters recognized using image processing and optical character recognition (OCR). This project explores how Python and OpenCV can be used to build an Automatic Number Plate Recognition (ANPR) system for educational and

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