The team of specialists at the AI center will work on developing a range of future capabilities to help increase police efficiency and efficacy, including software to enable vehicle, speech and critical event recognition. Initially, the team will focus on training the AI algorithm for automatic license plate recognition to aid law enforcement in automated data analysis. Today, without the purchase of expensive, specialized hardware, officers must go through the process of manually viewing license plates and physically typing them into a system to match against a database.
“Officers spend, on average, two-thirds of each shift sitting behind a keyboard doing paperwork,” says Moji Solgi, Axon's Director of AI and Machine Learning. “Our team is applying AI, machine learning and data science to common policing problems and eliminating pain points for agencies, including manual paperwork. The ultimate goal of the AI center is to help accelerate the introduction of AI-powered capabilities for public safety.”
Axon formed its AI Research Team in February 2017 after acquiring two AI research and engineering groups, Dextro and Misfit (previously part of Fossil Group, Inc.). Additional AI solutions the team is currently working on include:
Vehicle recognition: The ability to recognize the make, model, year, and color of vehicles on the road will help law enforcement in situations such as finding missing children.
Speech transcription: Automatically converting speech to text is a step toward automating record keeping and data entry by police officers, eliminating manual paperwork.
Critical event recognition: Developing an AI solution to detect officers' actions, such as foot chases, could help notify other officers that a critical event is unfolding.
With more than 24 petabytes of customer data currently active on Evidence.com, Axon is calling upon agencies who are willing to participate in the Axon AI Insider program by opting in to share data. Agencies interested in becoming a data partner can email
AI@axon.com
to learn more.
For more information about Axon, visit
www.axon.com
.