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Similarity Search makes it easy to find the same person or vehicle across different cameras, locations, and timeframes.Even when a subject moves out of view or appears again in a new scene, the system helps operators connect related footage — transforming scattered video into a continuous trail.
In real-world environments, people and vehicles naturally move across entrances, corridors, buildings, and camera zones.
While cameras and analytics can capture key moments, those moments remain fragmented across different views and timelines.
Without a way to connect these fragments, operators must manually search footage camera by camera, making it difficult to reconstruct events or follow movement across a site.
By connecting fragmented moments into a continuous trail, Similarity Search simplifies how operators investigate and review multi-camera events. Instead of starting from raw footage, users can begin with meaningful reference points and quickly expand their search across the entire system.
Use key object snapshots—such as BestShot images—as reliable reference points to search related footage across multiple cameras
Connect critical moments from different camera views to understand how an incident unfolds from start to finish
Reduce review time by starting searches from meaningful highlights instead of scrubbing full video timelines
When a person appears on camera, AI analytics extract attribute data, such as the color of upper and lower clothing, and send it as search-ready metadata.
Cameras that support Similarity Search provide this attribute data to a compatible VMS, where information from multiple cameras is analyzed together to identify and track people with similar characteristics.
Operators can select attribute-based references and receive a ranked list of related results across cameras and time periods, making cross-camera review and investigation far more efficient.
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Hanwha Vision is the leader in global video surveillance with the world's best optical design / manufacturing technology and image processing technology focusing on video surveillance business for 30 years since 1990.
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