Hakimo has introduced Forensic Search, a new feature within its AI-driven security monitoring platform that permits rapid and intuitive video footage searches through natural language queries. This capability negates the need for costly server infrastructure, thus streamlining investigative processes for security teams.
Forensic Search allows users to enter queries such as "person in a red shirt," "person opening car door," or "red car in parking lot," enabling the retrieval of relevant footage in merely seconds, regardless of whether the data spans hours or days. The tool incorporates advanced filters for camera selection, location, and time period, enhancing the precision and speed of video investigations.
Enhancing investigation efficiency
Conventional approaches require security personnel to painstakingly sift through video footage post-incident. Hakimo’s new functionality addresses this challenge by fusing computer vision, event detection, and semantic search technologies to accelerate the discovery of crucial evidence, thereby trimming investigation durations and boosting response efficiency.
This feature is a significant leap in Hakimo's ongoing efforts to transform physical security
"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."
Optimising Security Procedures
Forensic Search is especially useful for property managers, automotive dealerships, security personnel, and law enforcement, allowing them to expedite inquiries, enhance accountability, and fortify overall safety protocols.
This feature is a significant leap in Hakimo's ongoing efforts to transform physical security via its AI-centric monitoring framework, which aims to elevate standard cameras and sensors into smart systems capable of threat detection, incident prevention, and efficient operational management on a broader scale.
