Mohammad Farukh Hashmi

National Institute of Technology Warangal

Papers

Total Citations

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About

Mohammad Farukh Hashmi is a prominent researcher in the fields of computer vision, embedded systems, and intelligent automation, with a focus on practical, real-world applications. His work bridges the gap between hardware and software, particularly through the integration of low-cost platforms like Raspberry Pi with advanced image processing libraries such as OpenCV. His most cited paper, "Drowsiness Detection System Using Raspberry Pi and OpenCV" (2020, 7 citations), exemplifies his contribution to safety-critical systems, offering an affordable and efficient solution for detecting driver fatigue—a key factor in accident prevention. This work highlights his ability to translate complex algorithms into deployable prototypes, making him a notable figure in edge AI and IoT-based monitoring. Beyond this, Hashmi’s research often explores pattern recognition, deep learning, and real-time analytics, with an impact that extends to assistive technology and human-computer interaction. His achievements include developing robust, low-power systems that prioritize accessibility and scalability, earning him recognition among peers for advancing practical computer vision. For students and researchers, Hashmi’s work serves as a model for creating impactful, resource-efficient solutions that address pressing societal challenges.