COMPUTER VISION

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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Emotion Detection using Machine Learning | Text Emotion Detection in Python

Facial Emotion Recognition from Speech, Text and Facial using Python In automobiles, safety is important factor and driver factor is most efficient for road safety and it found that 90% of road accident are due to driver fault. The driver emotion plays a important role in ensuring safety while driving. Thus detecting driver emotion could

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Driver Drowsiness Detection System using OpenCV

Driver Drowsiness Detection System using Machine Learning Drowsiness Detection with Neural Networks introduces a life-saving application that focuses on preventing accidents caused by drowsy driving. Leveraging neural networks, the system analyzes facial features and eye movement patterns to detect signs of driver drowsiness. Real-time alerts are triggered when the system identifies potential fatigue, prompting the

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Drowsiness Detection System using Python

A Driver Drowsiness and Alert System using python is a safety system designed to keep drivers safe on the road. It uses a computer program written in Python, which can understand and process images from a camera. The system watches the driver’s face, especially their eyes, to see if they are showing signs of drowsiness

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Handwritten Digit Recognition using Deep Learning | Machine Learning Projects for Final Year CSE

Handwritten Digit Recognition using Machine Learning Handwritten Digit Recognition System developed using Python Programming Language and User Interface designed using Django, when user run the python script the program will generate one URL, user have to copy and paste that URL in any browser and home page will open and in that particular space user

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Dance Mudra Recognition using Deep Learning | Engineering Projects for CSE Students

Dance Mudra Recognition from Hand Gesture using machine learning, In this project user have to provide input image and model will detect the hand mudra sign. Recognizing and Extracting of hand mudra is complicated and challenging task in computer vision. This post proposes the classification of Indian classical dance actions using Machine Learning Tool: convolutional

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Dance Mudra Identification using Image Processing | Machine Learning Projects with Source Code

Dance Mudra Identification using Image Processing Hand Mudra Recognition Project developed using python programming language and Django framework is used to build Graphical User Interface. When user run that particular python script, it will generate one URL so we user have to copy and paste that URL in any browser. Then HOME Page will open

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Real Time Person Detection and Counting Project | CSE Projects 2024

Crowd Counting using Yolov5 Python In this video, we will show project called people detection and counting using python, in this project user can provide input video or real-time through laptop front camera. In video input user can provide any video to machine learning model and it will detect person and count total number of

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