Sk Md Basharat Mones
Papers
1
Total Citations
26
H-Index
1
About
Sk Md Basharat Mones is a researcher specializing in computer vision and deep learning, with a particular focus on real-time object detection for autonomous systems. His most cited work, "Single shot detection for detecting real-time flying objects for unmanned aerial vehicle" (2021), has garnered 26 citations, demonstrating its relevance in the rapidly evolving field of drone technology. This paper addresses a critical challenge in UAV navigation—accurately identifying and tracking moving objects in dynamic environments using efficient single-shot detection frameworks. By optimizing detection speed and accuracy, Mones' contributions support advancements in aerial surveillance, autonomous flight, and collision avoidance. His research bridges the gap between theoretical deep learning models and practical deployment in resource-constrained systems, making it valuable for engineers and researchers working on embedded vision applications. Through this work, Mones has established himself as a contributor to the intersection of real-time computer vision and unmanned aerial vehicle systems, with potential implications for smart agriculture, disaster response, and infrastructure monitoring.
Research Focus
Key Achievements
Top Papers
- 1