COMPUTER VISION

Self Driving Car Project using Machine Learning | Road Lane Line Detection Project using Python

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Self Driving Car and Road Lane Line Detection Project using OpenCV Python The Self-Driving Car Project revolutionizes transportation by incorporating neural networks for autonomous vehicle control. This application utilizes advanced machine learning algorithms to process sensor data, recognize road conditions, and make real-time driving decisions. The neural networks’ ability to adapt to dynamic environments and […]

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Self Driving Car Project using Machine Learning

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

Lane Detection for Self Driving Car Project The Self-Driving Car Project revolutionizes transportation by incorporating neural networks for autonomous vehicle control. This application utilizes advanced machine learning algorithms to process sensor data, recognize road conditions, and make real-time driving decisions. The neural networks’ ability to adapt to dynamic environments and diverse scenarios ensures safe and

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Satellite Object Detection using Image Processing | Python Projects

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Deep Learning methods for Remote Sensing Satellite Images Classification Satellite Image processing using machine learning, This project will identify the object from satellite images, user have to upload any image to that project then model will identify the object and provide accuracy of identifying the object. It detects different type of object like baseball ground,

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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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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

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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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Crop Yield Prediction using Machine Learning | IEEE Projects for Computer Science 2024

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Crop Yield Prediction based on Indian Agriculture using Machine Learning Project Crop Yield Prediction is an important feature of agriculture domain that helps farmers to make correct decision for huge losses for their crops. User have to provide the details of temperature (C), Humidity, Nitrogen, Phosphorous, Potassium from those inputs values model will predict the

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