OPENCV

Fire Detection and Alert System Project | Fire Detection from Drone

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

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

COMPUTER VISION, MACHINE LEARNING, OPENCV /

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

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

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

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, MACHINE LEARNING, OPENCV /

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

DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

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

ARTIFICIAL INTELLIGENCE, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

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

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

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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COVID Detection on X Ray Images using Machine Learning | Detection of COVID from Chest X Ray Images

DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Covid Detection using Machine Learning COVID future prediction & detection is a desktop based application designed and developed using python programming language. It allows the user to predict the future data of the COVID after N days in X country. It uses Time series as a dataset & pre-trained Fbprophet model for predictions. Along with

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People Counter using Yolo OpenCV | Real-Time Crowd Counting using OpenCV Python

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

Real-Time Crowd Counting using OpenCV Python Video-Based People Counting leverages neural networks to provide accurate and real-time counts of people within a designated area. This application analyzes video footage, ensuring precise counting even in crowded or dynamic environments. The system finds applications in retail analytics, event management, and public spaces, offering valuable insights into visitor

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Virtually Try on Clothes with a new ai shopping website | IEEE Projects for CSE

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

Virtual Try on Cloth Website and Posture Detection using Image Processing This project presents a computer-generated experience application where the client can choose the pieces of clothing as for the client needs like tone, size, fitting and so forth can be known without utilizing the path room. Presently a day’s the vast majority of the

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