OPENCV

Satellite Image Classification using Machine Learning | Object Detection using YOLO

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Satellite Image Classification using Python Satellite Image Detection and Classification using Image Processing, It works on satellite image where it will identify the area like airport, seaport, basketball court, tennis court, etc. user can provide input image to machine learning model then it will identify that particular things from dataset. This project works similar to […]

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Skin Cancer Detection using Machine Learning | Machine Learning Projects for Final Year

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Skin Cancer Detection using Machine Learning In this video, we will try to detect skin cancer disease from image, this machine learning model will detect that particular person have skin cancer or not and this project will classify the type of skin cancer and provide educational information. In this project python programming language is used

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Smart Traffic Management System using Artificial Intelligence

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Smart Traffic Management and Control System A traffic signal control module is integrated with the system to adjust signal timings dynamically based on real-time congestion levels. The module receives input from the YOLO-AlexNet model and uses an ML-based decision algorithm to optimize green light durations. This significantly reduces waiting time at intersections and enhances overall

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Smart Traffic Management System using Artificial Intelligence Part – 2

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Smart Traffic Control System Project with Source Code Traffic congestion is a pressing issue in urban areas, leading to increased travel time, fuel consumption, and environmental pollution. Traditional traffic management techniques struggle to cope with dynamic road conditions, necessitating the integration of artificial intelligence (AI) and machine learning (ML) for real-time traffic control. This paper

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Smart Traffic Management System using Artificial Intelligence Part – 3

COMPUTER VISION, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Smart Traffic Management System Project in Python Smart Traffic Management System, This project is about managing traffic from each lane according to traffic light timer. This system will detect vehicle and count total number of vehicle and classify type of vehicle like normal or emergency vehicle. We used YOLO Algorithm to detect vehicle. After detection

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Social Distancing Detection using Python OpenCV | Machine Learning | Deep Learning | Computer Vision

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Social Distance Detection using Deep Learning In this video, we will show Social Distancing Violation Project, developer have to add the threshold value of distancing from that distance if person came then it will give alert. In this feature user can select any input video and model will detect social distancing violation. It will identify

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Social Distancing Detection Python | Computer Vision Projects

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Social Distancing Violation using Python Social Distancing Detector Project developed using python programming language and graphical user interface designed in tkinter. machine learning modules work first module detect person and bounded by red boundary box and model works for social distancing, developer have to add the threshold value of distancing from that distance if person

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Sports Activity Recognition using Machine Learning | Human Activity Recognition Project in Python

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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

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Sports Activity Recognition using Machine Learning | Human Action Recognition using Deep Learning

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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

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Human Activity Recognition using TensorFlow | Abnormal or Suspicious Activity Detection

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Human Activity Recognition using Machine Learning | Abnormal or Suspicious Activity Detection Human Activity Recognition using Machine Learning Abnormal activity recognition and its detection becomes a major task in surveillance videos. From the context of security purposes, that it becomes more challenging to identify the suspicious events or activities in video surveillance. Surveillance closely observes,

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