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.
Crowd Counting from Heatmap Images Using Python Introduction Crowd counting using Python is a computer vision project that estimates the number of people present in an image or video. The system can use object detection, density maps, and image processing techniques to analyze crowded environments. This project demonstrates how Python, OpenCV, YOLO, and density-map techniques
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Introduction An Attendance System Using Face Recognition in Python is a computer vision-based project that automatically identifies students and records their attendance. Instead of manually marking attendance, the system can use a webcam to detect and recognize registered faces and update attendance records. This project combines Python, OpenCV, face recognition, image processing, and database management
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Introduction Crack detection using OpenCV and Python is a computer vision project that helps identify visible cracks in walls, concrete surfaces, and other structural materials using image processing techniques. This project demonstrates how Python can be used to analyze images, highlight potential cracks, and display detection results. For B.Tech, B.E., BCA, MCA, and computer science
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Plant Disease Prediction using Machine Learning Plant Leaf Disease Detection Project there is Android App and machine learning model by using Yolo Algorithm and it will generate model in ONEX format. Flask Framework is used to create website and server Api is integrated with android app. When we click any picture then it goes to
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Nail Disease Identification Using Image Processing Nail Disease Detection using Machine Learning, this project is web-based project developed using Django Framework. In this system user can search through doctors’ specialization or patient symptoms or including doctor name. Doctor can find out through area wise and book their appointment to doctor, it shows doctor whole profile.
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Introduction Helmet and number plate detection using YOLO is a computer vision project designed to identify motorcycle riders, detect helmet usage, and locate vehicle number plates from images or video streams. This project combines Python, deep learning, and real-time object detection to demonstrate how AI can support traffic monitoring and road safety applications. In traditional
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Introduction Real time sign language detection using Python is a computer vision project that demonstrates how hand gestures can be recognized and converted into text using Python, OpenCV, and TensorFlow. The project explores webcam-based gesture recognition, hand tracking, image processing, and machine learning concepts. If you are a B.Tech, B.E., BCA, MCA, Computer Science, Artificial
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Sign Language to Text Conversion Project with Source Code Sign Language to Text Conversion using Machine Learning, This project will take input from real time laptop front web-camera and predict that particular character that will shown from hand sign and make the word from that particular hand sign and gave suggestion finally it converts into
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