This whitepaper explains how audio analytics enhances security by detecting sound events such as screams, shouts, or glass breaking. Using AI-based classification, systems analyze sound patterns in real time and generate alerts without storing or transmitting audio, preserving privacy. The technology operates at the edge, producing metadata instead of raw audio, which enables efficient monitoring and integration with dashboards or video systems. Combining audio with video analytics improves detection accuracy and situational awareness. The paper also highlights use cases, privacy considerations, and legal aspects, showing how audio analytics adds a powerful layer to modern surveillance systems.

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