Sports Activity Recognition using Machine Learning Human Activity Recognition using Machine Learning, This project is used for detecting human activity and simultaneously it will recognize the sports activity and classify it. Machine Learning model will detect and classify the type of game the person is playing like Basketball, golf, badminton, Cricket, etc. User can provide […]
Deep Learning based Human Activity Recognition using CNN Sports Activity Recognition using Image Processing, In this video will show how the sports activity is recognized from any input video. This project is trained on large dataset of video and images so that machine learning model can trained and it can identify the type of sports
Smart Traffic System using Machine Learning Traffic Light Detection System using Machine Learning, This project focuses on developing a system for real-time traffic light detection and providing corresponding audio outputs to assist individuals, especially those with visual impairments, in navigating roadways safely. Leveraging computer vision techniques, we employ deep learning algorithms to detect and recognize
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Traffic Signal and Countdown Timer Detection Network for Autonomous Vehicles In this video, will show the traffic signal recognition and gave command to traffic whether they have to stop or drive. If the traffic light is green then vehicles can pass or if orange or red then they have to stop their vehicles it also
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Traffic Light Detection using YOLO Traffic Light Detection System using Image Processing, In this project user can upload any image or video to machine learning model and model will detect and recognize the color of traffic light and identify the counter. If the light is green then it gave permission to pass vehicle or if
Traffic sign recognition project with Source Code Traffic Sign Recognition using Convolutional Neural Networks (CNN) to detect and identify the traffic sign from input images or videos. : If system should have to recognize “stop” sign and gave alert to drive to stop their vehicle, so it prevents accident. By using of traffic sign images
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Traffic Signs Detection and Recognition System using Deep Learning Traffic Sign Recognition using Convolutional Neural Networks (CNN) to detect and identify the traffic sign from input images or videos. This project main aim to develop an automated system that classify accurately various traffic sign on Indian roads, it contributes to development of advanced driver assistance
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Traffic Sign Detection using Machine Learning The vehicle accident rate increases rapidly due to not observing traffic signs and not obeying traffic rules. By using of traffic sign images that can be easily accessible from Kaggle website for training data, which are trained from road traffic sign images and it allows us to overcome the
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Traffic Sign Recognition System using CNN Traffic Signs plays major role in road safety as they are essential for road information to drivers. An Automated Traffic sign recognition system can help to improve in road safety and efficient on Indian roads. For Example: If system should have to recognize “stop” sign and gave alert to
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Underwater Image Enhancement Using Convolutional Neural Network Underwater Image Enhancement using Deep Learning Underwater Image Enhancement project will do comparative study about different technique that will help for improving image enhancement, These images of underwater is suffer from motion blur effect due to turbulence in non-uniform illumination in the flow of water and limited contrast.
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