Krishna Prasad Bhattarai
Papers
1
Total Citations
5
H-Index
1
About
Krishna Prasad Bhattarai is a researcher whose work sits at the intersection of machine learning, computer vision, and smart home security. His most-cited paper, "Authentic Gate Entry System (AuthGES) by Using LBPH for Smart Home Security" (2018, 5 citations), introduces a novel smart home security system that leverages the Local Binary Pattern Histogram (LBPH) face detection algorithm to strengthen entry-system security. This contribution addresses the challenging problem of face recognition in machine learning, demonstrating how LBPH can be effectively applied to real-world access control. Bhattarai’s work is notable for its practical focus on enhancing residential safety through intelligent, automated authentication. By tackling the complexities of facial recognition—a field with broad applications in surveillance, user verification, and human-computer interaction—he has provided a foundation for more secure and user-friendly smart home environments. His research highlights the potential of combining classical computer vision techniques with modern security needs, offering a pathway for future innovations in home automation and biometric systems.
Research Focus
Key Achievements
Top Papers
- 1