Aug. 24, 2013
/PRNewswire/ -- Two
brothers have developed and successfully patented an invention that uses visual information about a location in conjunction with other data to generate a likely crime profile of a neighborhood. As just an example, a computer could review pictures available on Google StreetView
and generate a profile for that neighborhood based on the scoring of images such as graffiti visible in the pictures or bars on windows, burned out cars, the space between houses, or other visual clues that could augment other crime data to generate a more relevant crime map for use in navigation systems.
were awarded US Patent 8,515,673 on
August 20, 2013
, and were represented by patent attorney
of Boyle Fredrickson, S.C., the largest intellectual property law firm in
holds a BSME from the University of
, and has worked in the field of automation since 1997 having held a variety of engineering roles in this field.
is an entrepreneur with an International Executive MBA from IE Business School in
and a bachelor's degree in philosophy from UW-Eau Claire. He also recently earned a Certified Licensing Professional designation.
conceived of the idea as an out of the box way to address some of the difficulties inherent in building out sets of data related to crime.
are also co-owners of The Trinko Group LLC,
, an intellectual property licensing firm that has 3 patents and has licensed several of its inventions to the packaging industry.
Patent 8,515,673 has been licensed to Rio Sisa Idea Farm LLC,
, a startup headed by
and created to develop crime mapping for GPS navigation devices and smartphones. This is the second patent related to crime mapping and navigation systems held by
. An earlier patent, 8,290,705, was awarded in
, who is CEO of Information Technology Professionals, LLC and the CTO of
. Further patents are in the works.
"We believe that the use of images widely available on the internet can provide additional veracity to the relevance of publicly available and privately held crime data," said
, "Humans actually rely heavily on visual cues in their whereabouts to evaluate the likely safety of their surroundings. It stands to reason that algorithms can be created to make these same sorts of visual evaluations and that data can be overlaid onto another set of crime statistics, resulting in better and more relevant data."
plans to release a working version of CrimeAware
, its banner product, sometime in 2014. CrimeAware
will provide customers with a color coded map of the crime activity in a neighborhood based on publicly available data, proprietary data, and user preferences for mobile navigation devices such as portable GPS units.