| Article Title |
AI Enabled Drone for Real Time Criminal Identification and Alerting |
| Author(s) | Abdul Rahman, Namita Singh, Iqra Bano, Dr. Devesh Katiyar, Mr. Gorav Goyal. |
| Country | India |
| Abstract |
This paper introduces a contemporary design for an AI powered surveillance drone that can identify individuals suspected of criminal activities in real time. The study examines technological advancements in areas such as drone based monitoring, facial recognition systems, and autonomous navigation technologies. Based on this analysis, two system configurations are proposed. The first is a cost effective model built using Raspberry Pi, mainly intended for academic research and prototype development. The second is a more advanced and powerful version developed with NVIDIA Jetson technology, suitable for use by government bodies and security organizations. The proposed drone system is capable of functioning both online and offline, allowing continuous operation even in areas with limited network access. In addition, the paper addresses important ethical and legal aspects to ensure user privacy and responsible used is said to have occurred in1849 when implementation of the technology. |
| Area | Computer Science |
| Issue | Volume 3, Issue 5 (May 2026) |
| Published | 2026/05/05 |
| How to Cite | Rahman, A., Singh, N., Bano, I., Katiyar, D., & Goyal, G. (2026). AI Enabled Drone for Real Time Criminal Identification and Alerting. ShodhPatra: International Journal of Science and Humanities, 3(5), 1-7, DOI: https://doi.org/10.70558/SPIJSH.2026.v3.i5.45715. |
| DOI | 10.70558/SPIJSH.2026.v3.i5.45715 |
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