Video analytics works by recognizing patterns in images to detect and determine spatial and temporal events. The deep learning artificial intelligence (AI) software transforms the video to metadata to be processed according to a predetermined set of rules. The outcome is the identification, recording, and notification of anticipated events, i.e., parking violations. PARKVA uses the same type of technology employed in Tesla self-driving cars and Amazon Go markets.

PARKVA applies this technology to parking lot compliance in the form of a video network infrastructure, which can serve multiple purposes. The network consists of Internet Protocol (IP) security cameras installed on the property and cabled to a connected appliance located in the telecom demarcation closet. The connected appliance performs the video analysis, and the metadata is streamed via a broadband connection to a cloud-based server for further analysis and distribution.