Efficiency Comparison of AI classification algorithms for Image Detection and Recognition in Real-time
Computer Vision and Pattern Recognition
2022-06-14 v1 Artificial Intelligence
Abstract
Face detection and identification is the most difficult and often used task in Artificial Intelligence systems. The goal of this study is to present and compare the results of several face detection and recognition algorithms used in the system. This system begins with a training image of a human, then continues on to the test image, identifying the face, comparing it to the trained face, and finally classifying it using OpenCV classifiers. This research will discuss the most effective and successful tactics used in the system, which are implemented using Python, OpenCV, and Matplotlib. It may also be used in locations with CCTV, such as public spaces, shopping malls, and ATM booths.
Cite
@article{arxiv.2206.05842,
title = {Efficiency Comparison of AI classification algorithms for Image Detection and Recognition in Real-time},
author = {Musarrat Saberin Nipun and Rejwan Bin Sulaiman and Amer Kareem},
journal= {arXiv preprint arXiv:2206.05842},
year = {2022}
}