Abstract
We propose a system that performs automatic laser spot detection and tracking. Our laser spot detection approach is based on the HSV color model, thresholding, and center of mass. For tracking, a system of quadrants was used to move a camera depending on the center of mass. Also, the distance to the laser spot is calculated using a stereo vision configuration and geometric relationships. The proposed architecture is composed of an embedded computer that controls a low cost, semi-autonomous sentry robot attached to it. Our results show a robust real-time system that can detect a laser spot and track it, with a distance error lower than 0.80% on average and an execution time of 62 milliseconds per frame, that can be used in different applications.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728193779 |
| DOIs | |
| State | Published - Sep 2020 |
| Externally published | Yes |
| Event | 27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 - Virtual, Lima, Peru Duration: 3 Sep 2020 → 5 Sep 2020 |
Publication series
| Name | Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 |
|---|
Conference
| Conference | 27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 |
|---|---|
| Country/Territory | Peru |
| City | Virtual, Lima |
| Period | 3/09/20 → 5/09/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- laser tracking
- Stereo vision
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