Dicky Pratama
Papers
2
Total Citations
4
H-Index
2
About
Dicky Pratama is a researcher focused on intelligent systems and computer vision, with particular expertise in autonomous navigation and human-computer interaction. His work spans two key areas: intelligent transportation systems and object detection. In his 2021 study on mobile robot control based on traffic light objects, Pratama developed image processing techniques that enable robots to interpret traffic signals autonomously, contributing to Indonesia's intelligent transportation infrastructure. His 2019 research on fingertip detection using Faster-RCNN with Inception v2 architecture advanced natural user interfaces by improving detection accuracy even on noisy images, with applications in robotics and gesture-based control systems. Though early in his career, Pratama's work demonstrates the practical application of deep learning architectures like Faster-RCNN and Inception v2 to real-world problems in Indonesia. His research bridges the gap between advanced computer vision techniques and tangible solutions for transportation safety and human-robot interaction, establishing a foundation for future work in autonomous systems and intelligent interfaces.
Research Focus
Key Achievements
Top Papers
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