Abstract: The integration of Face Recognition Technology (FRT) into police operations offers a promising solution for enhancing public safety, identifying suspects, and locating missing persons. However, the deployment of this technology presents several challenges that must be addressed to ensure its effectiveness, reliability, and ethical use. Key technical hurdles include ensuring accuracy across diverse conditions and seamless integration with existing police databases. Data quality, privacy concerns, and the risk of bias further complicate FRT's implementation.

Additionally, the absence of clear regulatory frameworks poses legal risks, and substantial resources are required for both development and personnel training. This project aims to develop robust FRT algorithms that ensure high accuracy, minimize bias, and handle diverse conditions, while advocating for comprehensive legal frameworks and privacy protections. Public engagement initiatives will be essential to build trust and transparency. Through a balanced approach that addresses both operational and ethical concerns, FRT can enhance law enforcement capabilities while maintaining public trust and protecting civil rights.

Keywords: Face Recognition Technology, Law Enforcement, Public Safety,Missing Persons Tracking.

| DOI: 10.17148/IARJSET.2025.12235