Shreetej Reddy

National Institute of Technology Warangal, University of Pennsylvania

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About

Shreetej Reddy is a researcher at the intersection of embedded systems, computer vision, and autonomous robotics. His work focuses on developing practical, real-time solutions for safety-critical and resource-constrained environments. Reddy’s most cited contribution, "Drowsiness Detection System Using Raspberry Pi and OpenCV" (2020, 7 citations), demonstrates a low-cost, accessible approach to driver safety by leveraging edge computing for real-time facial analysis. This work highlights his ability to translate complex algorithms into deployable hardware-software systems. In parallel, his research on "Robust Vision-Based Autonomous Navigation, Mapping and Landing for MAVs at Night" (2020, 6 citations) tackles the challenging problem of enabling micro aerial vehicles to operate reliably in low-light conditions. By integrating robust visual odometry and landing algorithms, this work advances the autonomy of drones for nighttime search-and-rescue, surveillance, and inspection missions. Together, these contributions showcase Reddy’s skill in bridging the gap between theoretical computer vision and practical, field-deployable systems. His work is particularly notable for its emphasis on robustness and accessibility, making advanced AI-driven automation viable on affordable, low-power platforms.