Organization of Audio Analytics Systems Topologies

The paper presents a comparative characteristic of the solutions for organizing the topology of audio analytics systems. Equipment with built-in audio analytics that responds to disturbing sound waves allows to detect intrusions, break-ins, traffic accidents, attempted attacks, armed robberies and even acts of terrorism. Depending on reception or recording of sound in the system, types of data preparation and regulatory requirements of individual countries, there are several topologies of systems of audio analytics: systems with analytics on the edge, systems with analytics on a local server and systems with analytics in the cloud. Each solution has both disadvantages and significant advantages over others.