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BUILDING A SUCCESSFUL FACIAL RECOGNITION PROGRAM: ESSENTIAL TOOLS, STRATEGIES & BEST PRACTICES

Facial recognition technology is a game changer when it comes to helping identifying unknown subjects, victims and persons of interest. However, without a solid strategy to implement this technology, agencies may fall short when it comes to training, policy and budget. Law enforcement agencies should develop a multifaceted facial recognition program to ensure successful adoption and usage of the technology. 

FACIAL RECOGNITION TECHNOLOGY ECOSYSTEM FOR PROGRAM SUCCESS

As new investigative technologies emerge, law enforcement agencies must develop robust agency programs that include budgeting, implementation and adoption. Enhancing your agency's investigative operations with facial recognition technology (FRT) is best achieved through a comprehensive, multifaceted program.

Your facial recognition program should consider the following components to promote proper adoption, policy adherence, and improved investigative outcomes by users. A successful program enhances public trust when agency leaders involve key stakeholders in the implementation and adoption process, establish clear policies, and provide comprehensive training for approved uses.

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DIVERSE IMPLEMENTATION TEAM

Assembling a diverse implementation team helps ensure quicker deployment and more impactful use. Team members can include an investigator, an analyst, internal affairs, an accreditation or policy officer, a department or city attorney, a public information officer, and a training officer.

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POLICY DEVELOPMENT

Creating a robust facial recognition policy is critical for ensuring compliance, responsible use, and building trust with users and stakeholders. 

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USER COMMUNITY

Users of FRT can include investigators, intelligence analysts, investigative command staff, and training staff. 

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ROBUST & ONGOING TRAINING

Training is essential to ensure that personnel use FRT correctly, ethically, and in compliance with policies. Proper training helps mitigate risks, improves investigative outcomes, and ensures that all users understand how to use the technology proficiently and responsibly.

CASE STUDIES

Rescuing A Minor From Her Violent Trafficker
Two Law Enforcement Agencies Solve a Murder and Attempted Murder
Nashville International Airport’s Dept. of Public Safety Helps Identify Suspect in Attempted Rental Car Theft
Hernando County Sheriff’s Office Solves a Case That Could’ve Gone Cold
Bank Fraud Task Force Member Identifies ATM Theft Suspect
The Miami Police Department Locates a Fleeing Homicide Suspect
Uncovering Members of an International Drug Smuggling Network
North Florida Sheriff’s Office Identifies an Uncooperative Felon

ABOUT CLEARVIEW AI

Clearview AI Product Overview
Establishing Responsible Use
 
Facial Recognition Comes of Age Through Responsible Use by U.S. Government
Clearview AI Security
 
Clearview AI Addresses GAO AI Accountability Framework
How Facial Recognition Investigative Training Can Help Avoid Wrongful Arrests
A Practitioner's Guide to the Responsible Use of Facial Recognition Technology

OUR COMMITMENT TO ETHICAL & RESPONSIBLE USE

At Clearview AI, we understand the importance of responsible use of facial recognition technology. We are committed to upholding privacy and civil liberties while harnessing the power of this technology to enhance public safety. Our systems are designed with robust privacy protections and compliance with all applicable laws and regulations.

Facial recognition technology is a game-changer in the realm of public safety. It not only addresses the challenges faced without it but also offers numerous benefits that can significantly improve the efficiency and effectiveness of law enforcement agencies. By embracing this technology responsibly, we can create safer communities and a more secure future.

 

Contact us today to learn more about how our facial recognition solutions can help enhance public safety in your area. Together, we can build a safer and more secure world for all.

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INTERESTED IN NEXT-LEVEL INVESTIGATIONS?

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