2023
doi: 10.12720/jait.14.3.411-417
An Approach for Person Detection along with Object Using Machine Learning
Srikanth Bethu1,*
,
M. Neelakantappa2 ,
A. Swami Goud3 ,
B. Hari Krishna4 ,
P. N. V. Syamala Rao M5
- 1Department of CSE, CVR College of Engineering, Hyderabad, Telangana, India
- 2Department of IT, Vasavi College of Engineering, Hyderabad, Telangana, India
- 3Department of IT, B V Raju Institute of Technology, Narsapur, Telangana, India
- 4Department of CSE, Mallareddy Engineering College, Hyderabad, Telangana, India
- 5Department of CSE-AIML, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology, Hyderabad, Telangana, India
- Manuscript receivedSeptember 13, 2022
- revisedNovember 11, 2022
- acceptedDecember 1, 2022
- publishedMay 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
How to 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. https://doi.org/10.12720/jait.14.3.411-417
Copyright & License
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
