Crime Prevention through AI-based Surveillance Cameras: Towards Surat Thani Smart City

Abstract

This academic article aims to study the lessons learned from the work process and tangible results of crime prevention using Artificial Intelligence (AI) technology in the Surat Thani Smart City project of the Surat Thani Provincial Police Station. The project has integrated AI technology into police work, enabling timely monitoring and crime prevention. This allows police officers to be "in the right place at the right time," enabling them to systematically counter various threats.

The study found that police officers were able to detect and arrest 20 high-risk individuals, such as criminals with arrest warrants, and detect and intervene in 161 incidents involving individuals under surveillance, such as released convicts. Under normal operating procedures, it is difficult to detect and intervene in real-time without prior investigation. This project therefore plays a significant role in cutting off factors contributing to crime, preventing high-risk individuals from encountering victims or situations conducive to criminal activity, resulting in increased community safety.

The authors suggest that geographical crime analysis is necessary for the application of AI camera technology. Locations considered for installing AI cameras should be key gateway areas and vulnerable locations owned by the private sector. Low surveillance or the presence of hotspots is a concern. This is to identify criminals or individuals under surveillance at the entrance to the province, thereby cutting off factors contributing to crime. The effectiveness of AI-powered cameras depends on factors such as lighting, equipment, distance, and connectivity.