Axon Enterprise Assigned Two Patents

Processing recorded data for storage using CAD information
Axon Enterprise, Inc., Scottsdale, AZ, has been assigned a patent (11636562) developed by Smith, Patrick W., Scottsdale, AZ, Hanchett, Mark A., Mesa, AZ, Kloc, Aaron J., Scottsdale, AZ, and Conant, Tyler J., Seattle, WA, for “systems and methods for processing recorded data for storage using computer-aided dispatch information.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Computer-implemented methods and systems for processing recorded data for storage is provided. An auditable device, such as a digital video camera, stores a set of recorded data. The auditable device also stores auditable event entries that represent auditable events detected by the auditable device. One type of auditable event is the receipt of information from a computer-aided dispatch (CAD) system that indicates an event. The auditable device marks at least one subset of the set of recorded data based on the auditable event entries, and uploads the marked at least one subset of the set of recorded data to an evidence management system.”

The patent application was filed on 2021-08-16 (17/403848).

Techniques for processing recorded data using docked recording devices
Axon Enterprise, Inc., Scottsdale, AZ, has been assigned a patent (11568233) developed by Ladvocat Cintra; Daniel, Brooklyn, NY, for “techniques for processing recorded data using docked recording devices.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Various embodiments of the present disclosure increase the technical utility of a recording device and local recording device system by enabling a recording device to use a machine learning model to process media content received from a separate recording device. This allows a machine learning model to be used to process media content at a local system without a remote network connection or independent of whether a remote computing system is available over a network connection. Many embodiments eliminate the need for a separate computing device altogether for purposes of using a machine learning model. Embodiments of the present disclosure also decrease the time required to complete processing of a media file by processing the media file in parallel among multiple recording devices and/or by eliminating time associated with uploading a media file to cloud-based system and receiving one or more output values back from the cloud-based system..”

The patent application was filed on 2018-10-02 (16/150108).