IJIS, IACP joint task force releases facial recognition use case catalog for law enforcement
Public sector technology non-profit IJIS Institute announced today the release of the Law Enforcement Facial Recognition Use Case Catalog (PDF), a joint effort by the Law Enforcement Imaging Technology Task Force (LEITTF) which is comprised of IJIS Institute and International Association of Chiefs of Police (IACP) members.
LEITTF created the white paper as a catalog of facial recognition use cases for criminal justice agencies, which includes uses by police officers, sheriff’s deputies, investigators, and supporting personnel wherever they exist. The examination of uses covers typical settings where law enforcement interacts with persons such as large venues, transportation hubs, correctional facilities, motor vehicle stops, crime scenes, and other everyday situations.
The document includes a brief description of how facial recognition technology works, followed by a short explanation of typical system use parameters. The main body of the catalog contains descriptions and examples of known law enforcement facial recognition use cases. According to the announcement, the objective of the project is to empower public safety professionals and industry innovators to communicate the capability of this biometric technology to policy makers and the public, while reducing misunderstanding and minimizing the potential misuse.
The report concludes with four recommended actions for law enforcement leaders: fully informing the public; establishing use parameters; publicizing the effectiveness, and; creating best practice principles and policies.
Earlier this month the IJIS Institute, the National Police Foundation, and the Center on Policing at Rutgers University launched a partnership to offer training to executives, managers, and staff at all levels of law enforcement on emerging and enhanced technologies including predictive policing solutions, body cameras, license plate readers, machine learning and artificial intelligence, and communication technologies.
Article Topics
best practices | biometrics | facial recognition | IJIS | police | white paper
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