Person and Vehicle Detection

High-Quality Facial and Vehicle Recognition Video Analytics Services

Unrivaled Face Recognition Accuracy

Powered by VisionLabs’ industry-leading technology, our system achieves top rankings in the NIST FRTE 1:N evaluations, also known as QazSmartVision. With a Visa/Border FNIR of 0.0013 at an FPIR of 0.003, the algorithm consistently delivers exceptionally low rates of false matches and missed identifications. In simpler terms, out of 1,000 recognition attempts, fewer than 1.3 would fail to identify the correct person, and fewer than 3 would mistakenly identify someone else. This level of precision ensures the highest standards of reliability across security, monitoring, and identification scenarios.

Lightning-Fast Forensic Searches

The Vidarex VSaaS platform offers unparalleled speed when searching through databases containing tens of millions of faces sourced from thousands of busy indoor and outdoor camera streams. Whether you have a simple photo or a small cropped snippet from a video, our algorithm efficiently identifies matches with remarkable accuracy. Even if the reference image is 10–20 years old or partially obscured by a mask, the system maintains a robust detection rate. This powerful capability drastically reduces investigation times and helps organizations respond to security threats in near real-time.

Comprehensive Tracking and Visualization

With the Vidarex StoryLine UI, monitoring and reviewing a person’s movements across different locations and times becomes extraordinarily intuitive. You can visualize the subject’s path on a clear timeline and even integrate it with Google Maps for a full geographic overview. This real-time intelligence helps security personnel quickly piece together critical details—where and when a person was last spotted, and where they’re likely heading next. Such spatial-temporal analysis boosts situational awareness and streamlines the decision-making process.

Real-Time Alerts and Flexible Notification Options

The moment a designated individual appears on any of the thousands of connected cameras, authorized personnel can receive immediate alerts via email, SMS, or mobile push notifications. Beyond these standard channels, our API also enables seamless integration with third-party systems for advanced alerting workflows. Complex logic can be implemented, such as notifying officers who are physically close to the person of interest, all under centralized oversight. Each alert includes a direct link to the relevant video snippet, enabling swift and informed action.

Expansive Use Cases Across Industries

Although developed with law enforcement, border control, and security agencies in mind, the Vidarex VSaaS platform also caters to retail, HoReCa, and gaming industries for VIP guest management or blacklist detection. From welcoming high-value patrons to denying entry to unwanted visitors, our face recognition solution elevates both customer experience and overall safety. Its adaptability shines in large-scale public events, corporate campuses, or high-traffic venues where rapid identification is crucial. Through advanced face matching and real-time alerts, organizations can remain vigilant, reactive, and highly efficient.

Next-Level Vehicle Identification

The same powerful search and notification features extend seamlessly to vehicle tracking and analysis. By leveraging license plate recognition (LPR) technology, operators can search full or partial plate numbers, as well as filter by vehicle type, make, model, or color. This allows for rapid investigations in sprawling traffic networks or multi-level parking facilities, helping identify suspect vehicles or locate VIP cars. Real-time alerts can be configured to notify teams the moment a vehicle of interest appears, enabling swift action and bolstering overall security measures. Whether for law enforcement, parking management, or retail logistics, Vidarex VSaaS offers a unified platform that empowers organizations to monitor and respond to both people and vehicles with unprecedented efficiency.