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RAHKIA’s versatility opens up transformative use cases for both personal use and across sectors – especially where data sensitivity, local context, and autonomy matter most.


Facial Recognition

Crimsontide.AI’s Face Recognition Model is not just surveillance—it’s a strategic layer of intelligent security. By transforming traditional CCTV systems into AI-powered observation networks, it helps Jamaica and other nations build safer, smarter, and more efficient environments where human oversight is enhanced by machine precision.

State-of-the-Art Face Recognition for Security and Operational Management

Crimsontide.AI’s advanced face recognition system represents the next generation of intelligent surveillance—designed for businesses, residential communities, and government applications. Built on the company’s proprietary Chain Rule System Module, this model processes multiple RTSP camera streams simultaneously, optimizing GPU resources for real-time detections and analytics without performance loss. The system combines computer vision, machine learning, and visual analytics to deliver unmatched accuracy in identifying, verifying, and tracking individuals across multiple environments, even under challenging lighting and movement conditions.

In Jamaica, the adoption of this technology has the potential to transform national security and public safety. From smart policing and border management to workforce verification, school and campus safety, and community surveillance, Crimsontide.AI can help reduce crime, accelerate investigations, and enhance situational awareness across the island. Its real-time detection and alert capabilities empower authorities and private institutions to respond faster and more effectively to threats, while also supporting lawful identity management and operational oversight.

What We Offer?

The system overlays directly onto existing camera networks through RTSP streams, eliminating the need for new hardware or camera replacements.

Supports multiple cameras simultaneously, analyzing faces across various zones with live detection, matching, and identity tracking.

Dynamically allocates GPU resources for efficient multi-stream analysis, ensuring stable, high-speed performance with minimal computational strain.

Offers configurable sensitivity levels and region-based detection for high-traffic or restricted areas, minimizing false positives and enhancing reliability.

Designed for enterprise, government, and residential deployment, supporting encrypted data transfer, local or cloud-based analytics, and easy integration into command dashboards.

Our Team