Imran S. Khan

Papers

Total Citations

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About

Imran S. Khan is a researcher in embedded systems and computer vision, with a focus on practical automation solutions. His most-cited work, "Attendance System Based On Face Recognition By Using Raspberry Pi" (2016), introduces a cost-effective, robotized framework that automates student attendance in classroom settings using face detection and recognition technologies. By leveraging the Raspberry Pi platform, Khan demonstrates how to integrate hardware and software for real-time, real-world applications, addressing common inefficiencies in manual attendance tracking. This paper, garnering 5 citations, highlights his contribution to accessible, low-cost automation in educational environments. Khan’s research bridges the gap between theoretical computer vision algorithms and deployable systems, offering a template for scalable, user-friendly solutions. His work is particularly relevant for students and researchers interested in embedded AI, IoT, and the practical deployment of facial recognition in resource-constrained settings. Through this achievement, Khan underscores the potential of combining off-the-shelf hardware with intelligent algorithms to solve everyday problems, making his research a valuable reference for those exploring automation in education and beyond.