N. Dinesh Kumar,
Shiddanagouda F.B,
Jammichedu Sahil,
P. Akshitha Reddy,
K.L. Meghana,
- Professor Department of Electronics and Communication Engineering, Vignan Institute of Technology and Science, Hyderabad Telangana India
- Student Department of Electronics and Communication Engineering, Vignan Institute of Technology and Science, Hyderabad Telangana India
- Student Department of Electronics and Communication Engineering, Vignan Institute of Technology and Science, Hyderabad Telangana India
- Student Department of Electronics and Communication Engineering, Vignan Institute of Technology and Science, Hyderabad Telangana India
- Student Department of Electronics and Communication Engineering, Vignan Institute of Technology and Science, Hyderabad Telangana India
Abstract
Robotic control has demonstrated a positive impact on various segments ranging from forest patrolling to industrial inspection, drainage inspection, and pipe inspection. These versatile robots typically feature up to six wheels and run through rugged terrains with ease. By using night vision cameras, live video feeds may be accessed on laptops and smartphones, allowing for remote monitoring and photo taking. Robotic gadgets become more autonomous when night vision technology is integrated into them. Control and automation play a major role in robotics, which is a disruptive technology and essential to our system. The cameras utilized for these sorts of inspections must have specialized technologies to fulfil their purpose effectively. Moreover, the conventional cameras fall short in detecting industrial deformities, leakage issues, heating abnormalities, or potential harmful weapons, etc. To address these challenges, our developed robot operates on a tracked mechanism, allowing it to traverse rough terrain akin to a tank’s mobility. Additionally, the remote-controlled (RC) robot boasts a control range of over 100 meters and is equipped with both night vision capabilities and object detection technology, enhancing its surveillance and inspection capabilities significantly.
Keywords: Robot, night vision, surveillance, raspberry Pi, video feeds.
[This article belongs to Recent Trends in Sensor Research & Technology(rtsrt)]
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Recent Trends in Sensor Research & Technology
| Volume | 11 |
| Issue | 01 |
| Received | May 5, 2024 |
| Accepted | May 15, 2024 |
| Published | May 27, 2024 |
