G. Vakula

National Institute of Technology Warangal

Papers

Total Citations

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About

G. Vakula is a researcher specializing in embedded systems, computer vision, and intelligent automation, with a particular focus on developing practical, low-cost solutions for real-world challenges. Their most notable contribution is the "Drowsiness Detection System Using Raspberry Pi and OpenCV" (2020), which has garnered 7 citations. This work demonstrates Vakula’s strength in integrating hardware and software to create accessible, real-time monitoring systems—a critical area for enhancing road safety and reducing accidents caused by driver fatigue. By leveraging the Raspberry Pi’s affordability and OpenCV’s powerful image processing capabilities, Vakula’s system offers a scalable prototype for drowsiness detection, highlighting their ability to bridge the gap between academic research and practical deployment. Though their citation count is modest, the work’s relevance to emerging fields like edge AI and IoT-driven safety applications underscores its potential for broader impact. Vakula’s research is particularly valuable for students and engineers seeking to understand how computer vision can be applied in resource-constrained environments, making their contributions a solid foundation for further innovation in assistive and autonomous technologies.