Object Detection And Tracking Using Image Processing
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 1
Abstract
The aim of this project is to explore different methods for helping computers interpret the real world visually, investigate solutions to those methods offered by the open-sourced computer vision library viz. OpenCV, and implement some of these in a Raspberry Pi based application for detecting and keeping track of objects. The project focuses on two major categories, the object detection and the object tracking. The result of this project is a Windows based Python application that is able to detect and keep track of objects by reading the Hue, Saturation and Intensity (HSV) values of frames captured by the Raspberry Pi camera module. The major application of our project is fruit sorting and for this application we have selected the fruit banana to be our test subject. Through this project we are sorting the bananas into three different categories namely ripe (in perfect edible condition), unripe and overripe.
Authors and Affiliations
Siddharth Mandgi, Shubham Ghatge, Mangesh Khairnar, Kunal Gurnani, Prof. Amit Hatekar
Keywords
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