AI GUARD System: Cloud-Edge Device Connector Architecture Opens a New Era for Building System-Level AI and IoT Applications

AI GUARD System Overview

The AI GUARD Security System is a security and safety alarm system built on a cloud-edge device connector architecture, designed for system-level AI and IoT applications in buildings. Its core scenarios cover connecting everything, identifying everything, and intelligent alarms, aiming to provide industry users with reliable intelligent alarm solutions through a simple and easy-to-use interface.

Traditional analog circuit alarm systems often generate false alarms due to environmental interference or equipment aging, which not only wastes human resources but may also lead to safety hazards. The AI GUARD System effectively solves the problem of false and spurious alarms through its built-in AI model training, providing solid system support for daily operations and achieving more reliable AI alarms.

AI GUARD Users and Platform Scenarios

The AI GUARD System is designed with clear scenarios for different user roles:

• User Scenarios: Company operations administrators, each company's own operators, administrators, etc., can all operate and manage through an intuitive interface.
• Platform Deployment: Platform administrators can manage multiple companies onboarded to the platform, enabling centralized monitoring and permission allocation.
• Localized Deployment: Companies can deploy on a local network, with other connected devices linked via local LAN, ensuring the stability and security of data transmission.

AI GUARD System Core Components

The AI GUARD System consists of multiple components that complement each other to meet the needs of different scenarios:

AI GUARD CLOUD

AI GUARD CLOUD supports online cloud or local deployment, and can also be deployed on a local company LAN, providing flexible deployment options to adapt to different enterprises' IT environments.

AI Media Guard App (Edge Agent)

As an edge agent, the AI Media Guard App can run on servers or edge devices (such as palm-sized mini computers), enabling nearby data processing and real-time response, reducing latency and improving system efficiency.

AI Model Training System

The AI Model Training System is an AI-based training operating system specifically designed for customizing various precise alarms. It effectively achieves precise alarms, prevents false alarms, and generates various materials through the AI system, lowering the usage threshold. Its model training mechanism achieves "description as output," avoiding past situations where scenarios could not be implemented due to a lack of scenario materials, while also ensuring accuracy.

Hikvision Synchronized ACS (Access Control) System

The Hikvision Synchronized ACS System provides an Android version and is the most compact long-term standby operation solution, achieving 7x24 all-weather operation, suitable for access control management scenarios.

LTE Rural NFC Card Tap Solution and NFC WIFI Card Tap Solution

The company's self-developed LTE Rural NFC Card Tap Solution and NFC WIFI Card Tap Solution are mainly used for transportation positioning, maritime and mountain forest operations and supervision. They can operate as standalone devices without any other prerequisites, expanding the system's application scope.

Other Android Applications

The system also supports other Android applications, such as mobile phone NFC and mobile phone positioning solutions, further enriching the IoT application ecosystem.

Intelligent Low-Voltage Management (Experimental and Research Stage)

Intelligent low-voltage management is still in the experimental and research stage. Its main directions include intelligent risk prediction, energy saving, and AI brightness perception, which will bring more value to building management in the future.

Conclusion

With its cloud-edge device connector architecture, the AI GUARD System drives system-level AI and IoT applications in buildings, achieving connecting everything, identifying everything, and intelligent alarms. Its simple interface design and flexible deployment methods meet the needs of different user scenarios, and through AI model training it effectively solves the problem of false alarms, providing enterprises with reliable intelligent alarm solutions.