Designed to operate on a large scale, our platform allows 24-hour monitoring without restrictions on the number of connected cameras. In addition, it offers the creation of personalized watchlists for automatic alerts — such as to locate missing persons, individuals with arrest warrants, and suspects — ensuring coverage and accuracy in real time.
Our market-leading algorithms have been tested and praised by NIST and the U.S. Department of Homeland Security, positioning our solution among the best in performance and accuracy in global facial recognition.
Our proprietary technology maintains high identification accuracy, even in poor quality images or in unfavorable lighting conditions. It also identifies faces in multiple positions or partially covered by objects, masks, hair, or hands, ensuring consistent performance in any situation.
Developed with a focus on ethical operation, our platform reduces biases by abstracting factors such as race, gender, and age to ensure accurate and inclusive identification. In full compliance with the LGPD (Brazilian General Data Protection Law), we offer administrative tools that enable security and privacy, including converting faces into digital signatures, automatic blurring, and concealing data of individuals outside the lists of interest.
Monitoring multiple screens can be exhausting and ineffective. Therefore, our solution allows you to configure automatic and personalized alerts for instant notifications, sent directly to the mobile devices of field teams. With this agility, security forces can respond proactively and efficiently, increasing the protection of the population.
Our solution adapts perfectly to the existing camera infrastructure, eliminating the need for new hardware investments. Integration is quick and easy, with detailed APIs and compatibility with major operating systems and CPU and GPU platforms, allowing for rapid implementation and seamless operation with existing systems.
We offer the flexibility to operate our platform in the cloud or on-premises, allowing adjustments according to network needs and operational costs. This personalized approach helps optimize resources and facilitates maintenance and support.
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