Smart Policing with PredPol

PredPol is an innovative and proven smart policing technology that helps law enforcement predict and prevent crime. With first-of-its-kind smart policing technology that has produced significant crime reduction for departments using it after only a few months, the predictions provide tremendous economic benefits and, most importantly, mean fewer victims.

“It allows us to predict where that next crime is going to occur. It makes us smarter. It puts us on the cutting edge in what’s going on in this country in crime fighting.”
Atlanta Police Department, Chief George Turner

Using PredPol With Smart Policing Initiatives

The PredPol software tool was developed over six years by a team of internationally recognized PhD mathematicians, criminologists, and social scientists in close collaboration with crime analysts and line level officers at the Los Angeles and Santa Cruz Police Departments in California. Initially deployed in 2011 by LAPD’s Foothill Division, PredPol’s technology is now in use in jurisdictions of all sizes across the U.S. and overseas.
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We Are Ready to Launch in Ontario!

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“If I wasn’t confident that this will help the city I would not invest in it. It will help us use our limited resources more efficiently…We have to do things smarter and be more resourceful.” – Haverhill Police Department, Chief Alan DeNaro, Heraldmailmedia, Don Aines, May 27, 2014

Smart Police, Smart City

PredPol’s secure, cloud-based software applies well-understood criminal behaviors, advanced mathematics, and computer learning to generate predictions about which places and windows of time are at highest risk for future crimes including property crimes, gang activity, gun violence, and traffic accidents. Predictions are for small areas – 500 feet by 500 feet boxes on maps – that are automatically generated for each shift of each day. Typically, patrol officers spend a few minutes in these PredPol boxes to create a deterrent effect when they’re not responding to calls for service or performing other duties. Some of these boxes will be places that officers already routinely cover, but many others will be places that might not otherwise receive attention. Only three pieces of data are used to make predictions – type of crime, place of crime, and time of crime. No personal data is utilized in making these predictions, and the predictions are updated as often as a law enforcement agency updates its own crime database. [/raw]