This whitepaper explores how AI-driven free-text search transforms video investigation by allowing users to search footage using natural language descriptions instead of predefined filters. By converting both text queries and visual data into comparable representations, the system identifies relevant results quickly and ranks them by relevance. It enhances investigative efficiency by reducing the time required to locate specific events or objects. Built-in safeguards ensure ethical use through query moderation and logging. This capability significantly improves usability and flexibility, enabling security teams to respond faster, uncover insights more effectively, and streamline workflows in complex surveillance environments.

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