Harnessing AI and Machine Learning to Automate Police Report Generation from Body-Worn Camera Footage

• In Event: Integrating Artificial Intelligence (AI) and Randomized Controlled Trials (RCTs) in Police Work

Abstract

This study investigates the feasibility of automating police report generation by leveraging audio and video data from body-worn cameras (BWCs) with artificial intelligence (AI) and machine learning (ML) techniques. We convert BWC audio recordings into textual transcripts and extract textual descriptions from video footage using AI-driven processing tools. ML algorithms are then applied to identify and isolate critical information relevant to incident documentation, such as events, individuals, and actions. The processed data is evaluated for its potential to construct structured police reports autonomously. Preliminary results indicate that integrating AI and ML with BWC-derived text can enhance report accuracy, reduce officer workload, and improve documentation consistency. This research highlights the transformative potential of AI and ML in policing while addressing practical challenges and ethical considerations in technology adoption. These findings contribute to the broader discourse on AI-enabled solutions for law enforcement efficiency and accountability.

Authors

• Hyoungah Park, Saint Peter's University

• Hyeseon Noh, University of South Carolina