Bablu Kumar Choudhary

Papers

Total Citations

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About

Bablu Kumar Choudhary is a researcher whose work sits at the intersection of computer vision, embedded systems, and automation, with a particular focus on practical, low-cost solutions for real-world problems. His most notable contribution, the highly cited paper "Attendance System Based On Face Recognition By Using Raspberry Pi" (2016), pioneered a robotized framework that automates student attendance in classroom settings using face detection and recognition technology. This work demonstrated how affordable single-board computers like the Raspberry Pi could be leveraged to create intelligent, autonomous systems that replace manual, error-prone processes. By integrating computer vision algorithms with embedded hardware, Choudhary’s research offers a scalable and efficient approach to automating administrative tasks in educational environments. While his citation count remains modest, the practical impact of his work is significant, providing a blueprint for cost-effective biometric systems in resource-constrained settings. His research continues to inspire further developments in automated attendance and identity verification systems, highlighting the potential of combining AI with accessible hardware to solve everyday challenges.