MULTIFEATURED HUMAN FACE DETECTION USING OPENCV
Abstract & Details
Research Area
Computer Engineering
Keywords
Haar-Cascade Classifier
Open-CV
face recognitions
python
database automatic system
Abstract
The main thing of the Border Security Based Face Detection System design is to lessen the illegal conditioning that do at the border. Humans frequently engage in illegal exertion that could compromise the position of security. A suggested remedy is a security system that can help illegal exertion by detecting interferers in high- security or confined areas. The hardware element and the software element make up this system. A camera makes up the tackle element, and face- discovery and face- recognition algorithms make up the software element. When a person enters the zone, the camera takes a number of filmland, which are also transferred to the software for analysis and comparison with a formerly-being database of dependable individuals. How ever, legal action against them may be taken, and if the stoner is If the stoner isn't recognized and permitted to cross the border, an alarm is set off.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Diwakar Singh | Institute of Technology and Management Gida Gorakhpur Uttar Pradesh |
| 2 | Ashish Gond | Institute of Technology and Management Gida Gorakhpur Uttar Pradesh |
| 3 | Anand Chaturvedi | Institute of Technology and Management Gida Gorakhpur Uttar Pradesh |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Singh, Diwakar, Gond, Ashish, & Chaturvedi, Anand (2024). MULTIFEATURED HUMAN FACE DETECTION USING OPENCV. International Journal of Advance Research and Innovative Ideas In Education, 10(1), 228-231.
MLA Style
Singh, Diwakar, et al. "MULTIFEATURED HUMAN FACE DETECTION USING OPENCV." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 1, 2024, pp. 228-231.
IEEE Style
Diwakar Singh, Ashish Gond, and Anand Chaturvedi, "MULTIFEATURED HUMAN FACE DETECTION USING OPENCV," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 1, pp. 228-231, 2024.
Vancouver Style
Singh Diwakar, Gond Ashish, Chaturvedi Anand. MULTIFEATURED HUMAN FACE DETECTION USING OPENCV. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(1):228-231.
Harvard Style
Singh, Diwakar, Gond, Ashish, & Chaturvedi, Anand (2024) 'MULTIFEATURED HUMAN FACE DETECTION USING OPENCV', International Journal of Advance Research and Innovative Ideas In Education, 10(1), pp. 228-231.
Chicago Style
Singh, Diwakar, Ashish Gond, and Anand Chaturvedi. "MULTIFEATURED HUMAN FACE DETECTION USING OPENCV." International Journal of Advance Research and Innovative Ideas In Education 10, no. 1 (2024): 228-231.
Turabian Style
Singh, Diwakar, Ashish Gond, and Anand Chaturvedi. "MULTIFEATURED HUMAN FACE DETECTION USING OPENCV." International Journal of Advance Research and Innovative Ideas In Education 10, no. 1 (2024): 228-231.
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