Is Fighting Crime the Killer App for Google Glass™?
PublicEngines Shows Prototype of Crime Predictive Analytics on Google Glass
- PublicEngines Demonstrates Google Glass application for Predictive Analytics
- Prototype uses data from CommandCentral Predictive™ to alert officers of crime prediction areas through Google Glass
- Detailed crime information available at officers’ fingertips with Google Glass
- Video shows potential for new mobile technology to enable law enforcement
Salt Lake City, June 4, 2014 - While the market searches for the killer application for Google Glass, one company, PublicEngines, thinks it may very well be in law enforcement. PublicEngines, a provider of cloud-based solutions that facilitate crime analysis, and supply actionable intelligence to law enforcement agencies, today announced the development of a prototype application for Google Glass that uses the crime prediction data from their popular CommandCentral Predictive product to feed information directly to officers in the field.
A video demonstrating the Google Glass application is on PublicEngines’ website at www.publicengines.com/solutions/google-glass.php. The prototype demonstrates how law enforcement could take advantage of advanced software applications, Predictive Analytics, and potentially inexpensive mobile technology to provide better, more accurate intelligence to officers on the street. It utilizes crime prediction algorithms created in CommandCentral Predictive to feed Google Glass information about high-probability crime areas based on location, and alerts the user when they are in or near one of those areas.
The Google Glass prototype is built using CommandCentral Predictive, a cloud-based application launched by PublicEngines in 2013 that is designed to provide law enforcement agencies with daily, targeted predictions of high-probability crime areas by location, day and shift. Predictions from CommandCentral Predictive are used to help officers target specific areas each day, and have been shown to accurately predict approximately 30% of crime, helping them maximize their effectiveness. "When we developed CommandCentral Predictive, we had envisioned that this was often going to be used as a mobile application," said William Kilmer, CEO of PublicEngines. "It was designed to be used with tablets and smartphones. But when we saw the opportunity to demonstrate how it could be used with Google Glass, we couldn’t resist showing off the real power of putting predictions and detailed crime information directly in front of officers using Google Glass.”
The application for Google Glass is fully functional but not available for purchase at this time. Many analysts expect the cost of wearable technology such as Google Glass to drop to under $300 when they are released commercially. “As the cost of Google Glass or other comparable products comes down, we certainly see this as a viable means of getting information out to the officers as efficiently as possible,” said Kilmer.
CommandCentral Predictive is a targeted and accurate crime prediction platform designed to help agencies predict and prevent crime more effectively. It uses sophisticated, patent-pending technology to provide daily crime predictions that deliver results beyond what traditional hot-spot and trend analysis alone can provide. More information on CommandCentral Predictive is available at www.publicengines.com/products/commandcentral-predictive.php. will be demonstrating CommandCentral Predictive as well as its other products at the International Association of Chiefs of Police (IACP) exhibition in Philadelphia, October 20-22 at booth # 347.
PublicEngines develops easy-to-use, cloud-based software that helps law enforcement, government, defense, and other organizations gather, analyze, and share intelligence to improve public safety. Used by more than 2,000 organizations worldwide, our market-leading solutions are accessible wherever you are, and are easy-to-deploy with minimal training and no additional IT burden or expense. For more information visit www.publicengines.com.