Urgency of face recognition technology in criminal investigation process: A formal legal perspective

Abstract

Face recognition technology is a system that utilizes face images from photos or videos to identify an individual. This system works by comparing face data obtained from images with a database sourced from the Civil Registration Office and internal police databases. The problem in this research is how urgent and how to implement facial recognition technology in the criminal investigation process in a formal legal perspective. This research aims to determine the urgency and implementation of face recognition technology in the criminal investigation process in a formal legal perspective. In this study, the author reviews and analyzes the development of face recognition technology as an artificial intelligence technology that is used to facilitate the tasks of law enforcement. Using a normative-empirical research type and a qualitative approach, this study is expected to reveal the challenges, benefits, and legal implications of using this technology. The results of this study show that face recognition technology has great potential in improving the efficiency of investigations and enhancing security in Indonesia. This technology plays a role in accelerating the identification process, increasing the accuracy of investigation results, expanding the scope of investigations, and supporting other investigative methods. This research contributes to identifying current knowledge gaps and is expected to provide practical solutions to existing problems and boost the efficiency and effectiveness of implementing face recognition technology in Indonesia.