Daniel Hinvi

Covenant University, Osun State University

Papers

Total Citations

H-Index

About

Daniel Hinvi is a researcher whose work sits at the intersection of robotics, embedded systems, and mobile surveillance technologies. His research focuses on designing practical, cost-effective robotic solutions that address real-world challenges in automation and security. Hinvi's most influential contribution, "Obstacle Detection Using Ultrasonic Sensor for a Mobile Robot" (2019), has garnered 53 citations and presents an accessible, low-cost approach to autonomous obstacle avoidance — a foundational problem in mobile robotics. By carefully selecting sensor hardware and optimizing operational algorithms, his work has provided a valuable reference point for researchers and engineers developing navigation systems on constrained budgets. His second notable publication, "An Android Based Mobile Robot for Monitoring and Surveillance" (2019), with 32 citations, demonstrates a creative integration of consumer-grade smartphones with Arduino microcontrollers to produce capable surveillance robots without prohibitive costs. This work has resonated particularly within communities focused on affordable robotics and smart security systems. Together, these contributions reflect Hinvi's commitment to democratizing robotic technology, making sophisticated autonomous systems achievable with widely available components — an approach that continues to inspire students and practitioners working in resource-limited engineering environments.