Hakimo recently announced the launch of Forensic Search, a cutting-edge feature within its AI-driven physical security monitoring platform.
This innovation allows security teams to rapidly investigate video footage using straightforward natural language queries, bypassing the necessity for costly server infrastructure.
Efficient Video Querying
With the introduction of Forensic Search, users can now conduct searches with queries like "person in a red shirt," "person opening car door," or "red car in parking lot."
These searches facilitate quick retrieval of relevant footage from extensive video archives, spanning hours or even days, within seconds. The tool also incorporates robust filtering options, enabling searches based on camera, location, and time criteria for more targeted investigations.
Enhancing Investigation Efficiency
These searches facilitate quick retrieval of relevant footage from extensive video archives
Traditionally, security personnel have invested significant time manually reviewing video footage after incidents occur. By integrating computer vision, event detection, and semantic search, Hakimo's Forensic Search streamlines this process. This technology accelerates the identification of critical evidence, thereby reducing investigation durations and enhancing response effectiveness.
"Security teams shouldn’t have to waste hours searching through video just to find one key moment," stated Sam Joseph, Co-founder and CEO of Hakimo. "With Forensic Search, we’re turning video into a searchable intelligence layer. Our goal is to help teams go from incident to insight in seconds, so they can focus on prevention, not playback."
Optimizing Security Operations
Forensic Search is designed to benefit a broad range of users including property managers, auto dealerships, and law enforcement. It aims to expedite investigative processes, enhance accountability, and bolster overall safety procedures.
This tool is part of Hakimo’s larger initiative to innovate physical security through an AI-powered monitoring platform that offers an optional human-in-the-loop component. This approach transforms standard surveillance equipment into smart, AI-enabled systems capable of threat detection, incident prevention, and scalable security operation optimization.
