Authors

Venkata Srikar Reddy

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.) Andhra Pradesh, India

Dr. S.A.K. Jilani

Associate Professor, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

K. Srividya

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.) Andhra Pradesh, India

M. Yashwanth Kumar

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.) Andhra Pradesh, India

B. Krishna Prasad

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.) Andhra Pradesh, India

P. Vijay kumar

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.) Andhra Pradesh, India

Abstract

The AI-powered Pickpocket Recognition System for Public Transportation is an affordable way to improve passenger safety and stop pick-pocketing in congested areas. The technology analyzes live video data from security cameras using computer vision and machine learning technologies, which makes it possible to identify questionable activity. The technology instantly sounds a buzzer to warn of possible dangers and shows information on a monitor for quick attention. The Raspberry Pi, which processes video inputs and runs clever algorithms, is the system's central component. To guarantee prompt response, a GSM module notifies authorities or other specified persons, while an SD card and database hold data logs to improve the system's capacity for learning over time. Automated threat detection and sophisticated surveillance are used by the By lowering theft rates on public transportation, the solution makes commuting safer with real-time monitoring and proactive security measures to regain passenger confidence and safety, this scalable and effective solution is perfect for public transit networks where pick-pocketing is common.

Keywords

Pickpocket detection Public transportation Computer Vision Machine Learning Raspberry Pi Real-time monitoring Theft prevention

Citation of this Article

Venkata Srikar Reddy, Dr. S.A.K. Jilani, K. Srividya, M. Yashwanth Kumar, B. Krishna Prasad, & P. Vijay kumar. (2025). AI Powered Pick Pocketers Identification System for Public Transport. International Current Journal of Engineering and Science - ICJES, 4(4), 35-42. Article DOI: https://doi.org/10.47001/ICJES/2025.404006

Licence Copyright (c) 2026 International Current Journal of Engineering and Science. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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