Open AccessAnalysis of Object detection Method using Open CV – Python
Publication year - 2020
Publication title -
international journal for research in engineering application and management
Language(s) - English
Resource type - Journals
ISSN - 2454-9150
DOI - 10.35291/2454-9150.2020.0326
Subject(s) - viola–jones object detection framework , computer science , object detection , object class detection , python (programming language) , artificial intelligence , computer vision , face detection , cognitive neuroscience of visual object recognition , haar like features , 3d single object recognition , pattern recognition (psychology) , facial recognition system , object (grammar) , operating system
Object detection is a very well-known computer technology connected with computer vision, image processing, data collection and character recognition that focuses on detection of any object or its instances of a certain class (such as humans, flowers, animals, number plates, vehicles etc.) presented in the form of digital images and videos. There are various applications on object detection that have been well researched including face detection & recognition, character recognition and prediction, and number plate detection. Object detection and recognition are used in very vast cases and scenarios including retrieval, surveillance, detection of over speeding of vehicles and a lotmore cases . In this research, various basic concepts used in object recognition and detection while making use of OpenCV library of python 3.8, increasing and improvising the efficiency & accuracy of object recognition and detection are presented