IMAGE PROCESSING

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

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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

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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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Real Time Person Detection and Counting Project | CSE Projects 2024

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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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Crowd Monitoring using Computer Vision Python | Python Projects

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Crowd Counting and Density Estimation using Machine Learning | Crowd Counting Project Crowd Counting and Density Based Estimation refers to counting the number of people with density estimation present in certain area. Day to day population density increases and it does complexity of the calculations. Advancement in Deep Convolution Neural Network (CNN) and it largely

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People Counting with YOLO | Crowd Counting using CNN

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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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Smart Bus Passengers Counter using Yolo | People Counting in Real Time

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People Counting from Bus using Machine Learning People Counting in Passenger Bus using Python, In this project user have to upload input image and machine learning will first detect person and count total number of person sitting inside bus. It will create boundary box for each person and model will count total person in that

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People Counting using OpenCV Python | Python Projects for Beginners

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Crowd Counting using Yolo People Counting and Detection in Historical places utilizes neural networks to monitor and analyze crowd dynamics. By processing video feeds, the system accurately counts and tracks the movement of people in various areas. This application aids in optimizing space utilization, ensuring crowd safety, and facilitating efficient crowd management. The neural networks’

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Crop Yield Prediction based on Indian Agriculture using Machine Learning | Crop Yield Prediction

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Crop Yield Prediction based on Indian Agriculture using Machine Learning 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 crop.

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

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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

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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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