City of Peoria PD AZ

Transparency Portal

Last Updated: Fri Nov 07 2025
Overview
The City of Peoria Police Department uses Flock Safety technology to capture objective evidence without compromising on individual privacy. Peoria PD utilizes retroactive search to solve crimes after they've occurred. Additionally, Peoria PD utilizes real time alerting of hotlist vehicles to capture wanted criminals. In an effort to ensure proper usage and guardrails are in place, they have made the below policies and usage statistics available to the public.
Policies
What's Detected
License Plates, Vehicles
What's Not Detected
Facial recognition, People, Gender, Race
Acceptable Use Policy
Data is used for law enforcement purposes only. Data is owned by Peoria PD and is never sold to 3rd parties.
Prohibited Uses
Immigration enforcement, traffic enforcement, harassment or intimidation, usage based solely on a protected class (i.e. race, sex, religion), personal use.
Access Policy
All system access requires a valid reason and is stored indefinitely.
Hotlist Policy
Hotlist hits are required to be human verified prior to action.
Usage
Data retention (in days)
30 days
Number of LPR and other cameras
75
Vehicles detected in the last 30 days
1,249,347
Hotlist hits in the last 30 days
11,278
Searches in the last 30 days
343
Additional Info
Solved Stories
On August 25th, 2025, the Peoria Police Department's Real-Time Crime Center (RTCC) played a crucial role in reuniting a missing 85-year-old woman with her family after she failed to arrive at her intended destination. Utilizing Flock LPR and other technology systems, the RTCC quickly tracked her vehicle's movements and directed patrol officers to her location. This effective collaboration between the RTCC, dispatch, and patrol teams ensured a safe and successful outcome. We are proud to see how passion, pride, and purpose continue to make a real difference in our community. __________________________________________________________________________________________________________________________ The Peoria Police Department's Real Time Crime Center (RTCC) utilized Flock license plate recognition (LPR) technology to research and identify critical information that helped advance a major vehicle burglary investigation. Flock technology played a pivotal role in identifying two suspect vehicles connected to a series of vehicle burglaries in the residential area near 107th Ave and Happy Valley Rd. The RTCC reviewed data from Flock and traffic camera footage for the initial detection, which was then provided to detectives for further investigation. Using this information, the detectives were able to gather additional evidence linking three co-conspirators to the vehicles used to commit the burglaries. The investigation evolved into a coordinated, multi-jurisdictional operation involving seven search warrants--five residential and two vehicles. This collaborative effort resulted in the arrest of two suspects and the recovery of key evidence, including firearms and suspect clothing. __________________________________________________________________________________________________________________________ In August of 2025, Flock license plate recognition (LPR) technology played a crucial role in identifying a suspect involved in multiple felony shoplifting and organized retail theft cases in Peoria. Using Flock data, investigators determined the vehicle used in several incidents and confirmed the associated Nevada license plate through matching descriptions and witness photos. Further investigation revealed that the exact vehicle and suspect were linked to similar crimes in other jurisdictions. Collaboration with those agencies confirmed the suspect's identity and activities, showing that he had traveled from Nevada to Arizona while on probation to commit the offenses. Through coordination between agencies, the suspect was later arrested in Nevada for related crimes. This case demonstrates how Flock technology enhances investigative capabilities, supports interagency communication, and helps law enforcement identify and locate suspects across state lines. __________________________________________________________________________________________________________________________ In September of 2025, detectives investigated a case involving a suspect who violated an active Order of Protection by repeatedly contacting and following the protected individual in violation of court orders. During the investigation, detectives used Flock license plate recognition (LPR) technology to gather supporting evidence related to the suspect's vehicle and its connection to reported incidents. Flock data helped verify key details in the case and corroborate information obtained from other investigative sources, including GPS records from Adult Probation and law enforcement databases. The combined evidence established probable cause for Aggravated Harassment, leading to the suspect's arrest on multiple felony and misdemeanor charges. The suspect was booked and held without bond. This case highlights how Flock LPR technology supports investigations by providing reliable information, strengthening cases, and enhancing victim safety. __________________________________________________________________________________________________________________________ In October of 2025, Peoria Police responded to a road rage incident near 91st Avenue and Peoria Avenue, where a female victim was shot in the leg. The Real Time Crime Center (RTCC) quickly analyzed data from the Flock license plate recognition (LPR) system. It provided investigators with the vehicle and license plate driven by the shooter. This crucial information significantly reduced investigative time-saving countless hours of traditional police work that could have taken days to complete. With the information provided by the RTCC and Flock, detectives identified the suspect, obtained a positive victim identification through a photo lineup, and secured search warrants for the suspect's vehicle and residence. With the help of the Peoria PD Special Assignments Unit, investigators apprehended the suspect without incident at his residence in Phoenix. A firearm and a shell casing were recovered from the vehicle, and the suspect later confessed to the shooting. This case highlights how the RTCC and Flock LPR technology enhance investigative efficiency, accelerate suspect identification, and strengthen public safety outcomes