Mini Seekar
Maintaining international borders has become extremely difficult for any nation. Long borders are not necessarily something that border security personnel can keep an eye on year-round. In the current geopolitical climate, it is essential to deploy technology in the form of robots to identify intruders at borders and transmit data to control centers. While this can be risky for warriors, many high-risk occupations in a hostile environment are best performed by robots. The goal of the proposed effort is to create an automatic method for identifying hostile or adversarial presence. “MINI SEEKAR” comprises of a robotic vehicle that continuously monitors the pre-allocated area to spy on it. The surveillance system first performs a human presence check before running the facial recognition algorithm whenever a person is seen. The technology identifies the person and sends their location to the Telegram app via a GPS module if their facial data do not match the troops’ pre-stored personal data. The robot was controlled automatically by an ultrasonic sensor and manually by an APP. In addition, the system uses a Raspberry Pi and VNC Viewer to broadcast live surveillance data to the operator.
Authors
- G. Karthik Reddy (ORCID: https://orcid.org/0000-0002-0353-6025)
- G. Kaushik
- Rayala Sateesh (ORCID: https://orcid.org/0000-0003-1565-6005)
- S. Deva Prasad
- R. Varma (ORCID: https://orcid.org/0009-0008-8294-2435)
Publication Details
- Published
- 2024-10-19
- DOI
- https://doi.org/10.1109/cvmi61877.2024.10781903
- Citations
- 1
- Primary Topic
- Physics and Engineering Research Articles
- Type
- article
- Field-Weighted Citation Impact
- 0.37