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JAIT 2023 Vol.14(3): 411-417
doi: 10.12720/jait.14.3.411-417

An Approach for Person Detection along with Object Using Machine Learning

Srikanth Bethu 1,*, M. Neelakantappa 2, A. Swami Goud 3, B. Hari Krishna 4, and P. N. V. Syamala Rao M 5
1. Department of CSE, CVR College of Engineering, Hyderabad, Telangana, India
2. Department of IT, Vasavi College of Engineering, Hyderabad, Telangana, India;
Email: m.neelakanta@gmail.com (M.N.)
3. Department of IT, B V Raju Institute of Technology, Narsapur, Telangana, India;
Email: swamygoud.a@bvrit.ac.in (A.S.G.)
4. Department of CSE, Mallareddy Engineering College, Hyderabad, Telangana, India;
Email: hariboorgadda@gmail.com (B.H.K.)
5 Department of CSE-AIML, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology, Hyderabad, Telangana, India; Email: syamalarao_p@vnrvjiet.in (P.N.V.S.R.M.)
*Correspondence: srikanthbethu@gmail.com (S.B.)

Manuscript received September 13, 2022; revised November 11, 2022; accepted December 1, 2022; published May 5, 2023.

Abstract—The best biometric information processes is a face recognition device, its applicability is simpler and its working range is broader than other methods like fingerprinting, iris scanning and signature. Face Detection is one of the kinds of bio-metric strategies that immediately apply to facial recognition by computerized devices through staring at the facial. It is a common feature used in bio analytics, digital cameras, and social labeling. Main applications of facial recognition algorithms that concentrate on recognition of face include environments, artifacts, and other parts of humans. Face-detection systems uses learning algorithms which are part of machine learning that can be used to identify subject faces inside big size pictures in order to function.
Keywords—face detection, human detection, machine learning, object detection

Cite: Srikanth Bethu, M. Neelakantappa, A. Swami Goud, B. Hari Krishna, and P. N. V. Syamala Rao M, "An Approach for Person Detection along with Object Using Machine Learning," Journal of Advances in Information Technology, Vol. 14, No. 3, pp. 411-417, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.