N. Kusuma Priya

National Institute of Technology Warangal

Papers

Total Citations

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About

N. Kusuma Priya is a researcher specializing in embedded systems, computer vision, and real-time intelligent monitoring applications. Her most notable contribution is the development of a "Drowsiness Detection System Using Raspberry Pi and OpenCV," a widely recognized work that has garnered 7 citations. This project demonstrates her ability to integrate low-cost hardware with advanced image processing algorithms to address critical safety issues, particularly in driver fatigue detection. By leveraging the Raspberry Pi platform and OpenCV libraries, Priya’s system offers a practical, accessible solution for real-time eye-tracking and alertness monitoring, showcasing her strength in bridging theoretical computer vision techniques with deployable embedded solutions. Her work highlights a commitment to creating impactful, resource-efficient technologies that enhance human safety. Beyond this flagship study, her research portfolio reflects a deep engagement with the intersection of hardware and software, aiming to make intelligent systems more affordable and widely applicable. For students and researchers in embedded AI and safety-critical systems, Priya’s approach serves as a model for how compact, cost-effective platforms can be harnessed to solve real-world problems, from automotive safety to broader human-computer interaction challenges.