Our AI-based intelligent management system combines advanced deep learning with a modular socket communication system to enable comprehensive video and human data collection. Utilizing Person Re-ID algorithms, the system seamlessly tracks individuals across different locations within a facility, integrating up to 128 EO/IR cameras to monitor up to 30 individuals per camera with 95% recognition accuracy.
 
The system’s core strength lies in its ability to synchronize video and human attribute data in real-time through precise timestamping, ensuring accurate tracking even in complex environments. By analyzing up 12 different identifiers such as skin color, hair sytle, body proportion, clothing, and belongings such as hats and glasses across multiple camera feeds, the system achieves an 80% success rate in re-identifying individuals.
 
Designed for versatility, the system easily integrates with existing CCTV infrastructures, enabling seamless upgrades without the need for full replacements. The inclusion of thermal cameras enhances its ability to detect potential health risks, such as elevated body temperatures.
 
The system also features autonomous robots equipped with EO/IR cameras and advanced pathfinding algorithms for thorough disinfection and surveillance, even in hard-to-reach areas. With edge computing architecture, data processing occurs directly on devices, minimizing latency and reducing network load—crucial for high-traffic environments.
 
Our system enhances public safety, provides valuable insights for security and marketing purposes.
 
Our AI-based intelligent management system is redefining public health and security management in multi-use facilities:
 
Advanced AI and Deep Learning Algorithms: Central to our system is the use of cutting-edge deep learning algorithms, particularly Person Re-ID, which enables seamless, highly accurate tracking of individuals across multiple locations. This technology is essential for managing high-traffic areas and ensuring effective epidemiological tracking, making it an indispensable tool in public health management.
 
EO/IR Camera Edge Devices with Edge Computing: The system integrates EO/IR camera technology across four specialized devices—Kiosk, CCTV, Gate, and Robot. These devices combine RGB and infrared sensors for precise, real-time data capture and analysis. Edge computing ensures that data is processed locally, minimizing latency and enabling immediate decision-making, critical during public health crises.
 
Autonomous Robotics Integration: The system includes autonomous robots equipped with EO/IR cameras and advanced pathfinding algorithms for patrol and disinfection. These robots navigate complex environments, including shaded areas, ensuring thorough surveillance and disinfection without human intervention.
 
This combination of AI, edge computing, and autonomous robotics makes our system an essential solution for any facility focused on safety, efficiency, and public health.