Predicting crime through pattern recognition

Predicting crime through pattern recognition

Hitachi has introduced a system that promises to predict where and when crimes are likely to occur.

According to a Fast Company article, the system, known as Hitachi’s Visualization Predictive Crime Analytics (PCA), uses a bevy of data from public safety systems, historical crime statistics, public transportation maps, weather reports and social media conversations.  It then draws on machine learning and the R statistical software to map patterns that law enforcement would otherwise miss.

The PCA is especially equipped to analyze Twitter and other forms of social media. Through a system called a latent Dirichlet allocation, the PCA can sift through every tweet tagged to a specific geography to find significant words that indicate what's happening

Hitachi’s system incorporates a visual interface complete with heat maps showing the intensity of various crime indicators as well as icons indicating guns, cell phones and surveillance cameras.  It can pinpoint an area down to 200 square meters and assign it a threat level from 0-100.

The PCA system is a hybrid-cloud platform that can run on third-party cloud platforms, including Amazon Web Services and Microsoft Azure, as well as on Hitachi's own HDS cloud system.

About half a dozen cities are already lined up to pilot the system and run double blind studies, although Hitachi declined to name the partners. Several dozen cities already use Hitachi’s video surveillance and sensor systems in their police departments.


  • Records management: Look beyond the NARA mandates

    Pandemic tests electronic records management

    Between the rush enable more virtual collaboration, stalled digitization of archived records and managing records that reside in datasets, records management executives are sorting through new challenges.

  • boy learning at home (Travelpixs/

    Tucson’s community wireless bridges the digital divide

    The city built cell sites at government-owned facilities such as fire departments and libraries that were already connected to Tucson’s existing fiber backbone.

Stay Connected