OPENCV

Face Mask Detection using Machine Learning | Social Distancing Detection using Deep Learning

AI Vision based Social Distancing Detection using Python Face Mask and Social Distancing Project developed using python programming language and graphical user interface designed in tkinter. Both the machine learning modules work together first module detect face mask on person face, it will detect that person is wearing mask or not; the person not wearing […]

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AI Virtual Keyboard using OpenCV | Gaze controlled keyboard with Python and Computer Vision

Virtual Keyboard using Python Eye Tracking Virtual Keyboard using Python, It basically track the human eye and eye works as a mouse pointer, if eye points on any key of keyboard then that particular key pressed and that particular alphabet stored. This particular project works without using hands to type then human eye is used,

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Emotion Based Music Recommendation System Project using Python | Final Year CSE Engineering Projects

Music Recommendation System based on Person Emotion In this Video, we follow a new approach to recommend song according to mood of person and it is determined from his picture and based on person mood predicted song recommendations are made best suited. Song Recommendation have existed from a long time but in most of the

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Fire Detection and Alert System Project | Fire Detection from Drone

Fire Detection and Alert System using Python The Fire Detection and Alert System with Neural Networks introduces an innovative approach to early fire detection using computer vision. By leveraging neural networks, the system analyzes visual cues such as smoke and flames in real-time camera feeds to swiftly identify potential fire incidents. This project aims to

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Fire and Smoke Detection using YOLO | Image Processing Projects

Fire Alarm System Project using Python Fire and Smoke Detection System using Machine Learning, This ML model detect the fire and smoke in any image, video or real time through laptop webcam. First Machine Learning model will process the input and detect the fire or smoke and also show with accuracy, and once fire or

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Fire and Smoke Detection using CNN | Final Year Project based on Machine Learning

Fire and Smoke Alarm System with SMS Notification Fire and Smoke Detection System using Machine Learning, This ML model detect the fire and smoke in any image, video or real time through laptop webcam. First Machine Learning model will process the input and detect the fire or smoke and also show with accuracy, and once

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Smart Drone Detection System Project | Fire and Smoke Detector

Fire and Smoke Detection System with Alarm using Machine Learning Fire Detection and Smoke Detection both the machine learning model with the live implementation and it has connected with Android Application as well as website. For connecting the android app, website or ML Part we have deployed in “pythonanywhere” to that server. All the alert

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Currency Recognition System using Image Processing | Image Processing Projects for Final Year

Fake Currency Detection using Machine Learning A Currency Detection and Recognition System (CDRS) is a technology that enables machines or computer systems to automatically identify and distinguish different types of currencies. This system is particularly useful in various applications, such as automated teller machines (ATMs), currency exchange counters, vending machines, and mobile payment platforms. An

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Real Time Crowd Counting using Deep Learning | Computer Vision Projects

People Counting using Machine Learning Real-Time People Counting Project using Python, we will show project called people detection and counting using python, this project works on real-time through laptop front camera, it will count total number of person and project user interface developed using tkinter python library. Real-Time Person Counting from Webcam Software Requirements :-

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People Counting with YOLO | Crowd Counting using CNN

Crowd Counting using YOLO This project is based on Real-Time People Counting System using Python. In this system user have to provide input video to machine learning model and model will count the total number of people counting inside and outside to building, we have to make one prediction border so that system will classify

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