Please use this identifier to cite or link to this item: https://elibrary.khec.edu.np:8080/handle/123456789/674
Title: REAL-TIME OBJECT TRACKING AND SHAPE RECOGNITION USING AIR CANVAS
Authors: Nista Shakya (750320)
Prashamsa Bakhrel (750323)
Puskar Adhikari (750324)
Ramjanam Sharma (750327)
Advisor: Er. Milan Chikanbanjar
Keywords: CNN, OpenCV, Canvas, Image Processing, Object Tracking, Transfer Learning iii
Issue Date: Aug-2023
College Name: Khwopa Engineering College
Level: Bachelor's Degree
Degree: BE Computer
Department Name: Department of Computer
Abstract: Real-time Object Tracking and Shape Recognition Using Air Canvas is an innovative application that offers real-time drawing capabilities by detecting a green object in the camera feed. Built on OpenCV, the application tracks the movement of the green object in the air and translates it into drawing actions on the screen. The application employs a Convolutional Neural Network (CNN) model to accurately recognize and classify the shapes drawn by the user. With its seamless integration of computer vision techniques and deep learning algorithms, this application provides an intuitive and interactive drawing experience, making it a unique tool for creative exploration.
URI: https://elibrary.khec.edu.np/handle/123456789/674
Appears in Collections:Computer Report

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