Golvainbec Jotham
Papers
1
Total Citations
3
H-Index
1
About
Golvainbec Jotham is an emerging researcher in autonomous robotics and computer vision, with a focused interest in real-time environmental surveillance systems. Their most cited work, "Enhanced Surveillance Abilities Through Object Detection in Autonomous Robots" (2024, 3 citations), introduces a novel integration of OpenCV-based object detection and tracking with an ESP-32 cam module, streaming live video data to a mobile application for remote monitoring. This contribution demonstrates a practical, low-cost approach to autonomous environment monitoring, bridging embedded systems and mobile interfaces. While still early in their career, Jotham's work highlights a commitment to accessible, real-time robotic solutions that enhance situational awareness. Their research holds promise for applications in security, wildlife observation, and industrial inspection, where autonomous detection and tracking can reduce human workload and improve response times. As the field of edge AI and IoT-enabled robotics grows, Jotham's foundational contributions offer a stepping stone for more advanced, scalable surveillance systems.
Research Focus
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Top Papers
- 1