ShotSpotter, Inc., a pioneer in solutions that help law enforcement officials identify, locate and deter gun violence, announced that the U.S. Patent and Trademark Office (USPTO) has granted ShotSpotter U.S. Patent No. 10,424,048 entitled “Systems and Methods Involving Creation and/or Utilisation of Image Mosaics in Classification of Acoustic Events”. ShotSpotter’s real-time gunshot detection solution uses a two-step process that employs both machine classification and human review.
The system is able to distinguish with high accuracy whether a loud, impulsive sound detected by its acoustic sensors is a gunshot or a non-gunshot incident, such as fireworks, in less than 60 seconds. The innovation behind this 33rd patent granted to ShotSpotter covers the conversion of multiple features of the audio event into a set of visual displays that are combined into a single image mosaic. This enables the system to leverage “deep learning” neural networks that typically identify and classify images, not sounds.
