AI GUARD System: Unified Multi-Building Security Deployment to Eliminate External Intrusion Risks

AI GUARD System: A Unified Dispatch Platform for Enterprise Security

With frequent enterprise cybersecurity incidents in recent years and an endless stream of external intrusion methods, how to effectively prevent risks such as communication interception and line tapping has become a top priority for corporate security managers and IT decision-makers. The AI GUARD Security System is designed precisely for this pain point: through unified deployment, it integrates the security devices of multiple buildings onto a single platform, enabling comprehensive dispatch and greatly enhancing enterprise security levels.

System Overview

The AI GUARD System is a security management platform that combines cloud and edge computing, covering multiple subsystems such as access control, CCTV, AI recognition, and alarms. Its core value lies in breaking down the silo effect of traditional security systems, allowing managers to grasp the security status of all buildings on a single interface and perform real-time dispatch. The system adopts the highest-level SSL certificate security mechanism to ensure data transmission is encrypted, avoiding major risks such as communication interception, intrusion, and line tapping; it also uses HTTP/2 ultra-fast network access technology to improve system response speed and make operations smoother for managers.

Users and Platform

The AI GUARD System is suitable for corporate security managers, facility management personnel, and IT decision-makers. The platform supports web browsers and mobile devices. Users can view the security status of each building anytime and anywhere through the AI Media Guard App (Edge Agent) and receive real-time alerts. The system's permission and role architecture is rigorously designed, allowing operation permissions to be set according to different job levels, ensuring sensitive information is not accessed without authorization.

System Topology Graph Concept

The architecture of the AI GUARD System can be visualized as a topology graph, clearly showing the connections among the cloud, edge devices, and terminals. This helps managers understand the system layout and quickly locate problems when anomalies occur. The system is mainly divided into the following layers:

CLOUD And Edge Device

The cloud and edge devices work together: edge devices are responsible for frontline data collection and preliminary processing, while the cloud performs big data analysis and long-term storage. This distributed architecture not only reduces network latency but also reduces dependence on central servers, enhancing system resilience.

Edge Agent

Edge Agent is an intelligent agent program installed on edge devices, responsible for communicating with the cloud, executing local AI inference, and managing device status. The AI Media Guard App is the mobile application of the Edge Agent, allowing managers to remotely monitor and control devices.

Edge Device

Edge devices include network cameras, access control card readers, sensors, etc., responsible for collecting images and sensor data. These devices connect to the Edge Agent through secure communication protocols, ensuring the integrity and confidentiality of data transmission.

Core Modules of the AI GUARD System

The AI GUARD System consists of multiple modules that work together to provide comprehensive security management capabilities.

AI GUARD CLOUD

AI GUARD CLOUD is the brain of the system, responsible for centrally managing all edge devices, storing data, and executing AI model training and analysis. The cloud platform provides a dashboard showing the real-time security status of each building, and alarm rules can be set to automatically notify relevant personnel when anomalies occur.

AI Media Guard App (Edge Agent)

The AI Media Guard App is the mobile assistant for managers, supporting iOS and Android platforms. Users can view real-time images, play back recordings, receive alarm push notifications, and perform operations such as remote access control switching through the App. Communication between the App and the cloud is also protected by SSL certificates, ensuring mobile office security.

AI Model Training System

The AI model training system allows enterprises to train dedicated AI recognition models based on their own scenarios, such as recognizing specific people, vehicles, or behaviors. The system provides annotation tools that let users upload images and annotate targets, then automatically train models and deploy them to edge devices, improving recognition accuracy.

Hikvision Synchronized ACS (Access Control) System

The AI GUARD System integrates Hikvision's access control system (ACS) to synchronize access control data with the security platform. Managers can manage the access control permissions of multiple buildings on a single platform and link them with CCTV, automatically triggering recording and alarms when illegal intrusion occurs.

Company-Developed LTE Rural NFC Card Tap Solution and NFC WIFI Card Tap Solution

For remote areas or scenarios with insufficient network coverage, the company has developed the LTE Rural NFC Card Tap Solution and the NFC WIFI Card Tap Solution. These solutions use NFC technology for identity verification and transmit data via LTE or WiFi networks, ensuring access control management can still be maintained in environments without fixed networks.

Other Android Application Solutions

The company also provides other Android application solutions, such as mobile NFC card tapping and mobile positioning, expanding the flexibility of security management. For example, security personnel can use mobile NFC for patrol check-ins or track patrol routes through mobile positioning.

ELV Intelligent Management (Experimental and Research Stage)

ELV intelligent management is still in the experimental and research stage, with main directions including intelligent risk prediction, energy saving, and AI brightness sensing. In the future, AI will analyze power consumption data and ambient brightness to automatically adjust lighting and device power consumption, achieving energy saving and emission reduction.

System Components and Functions

CCTV System

The AI GUARD System supports connecting network cameras from multiple brands, providing real-time monitoring, recording playback, and motion detection functions. Image data can be stored locally or in the cloud and transmitted via SSL encryption to prevent interception.

AI Recognition and Alarms

The system has a built-in AI recognition engine that can analyze images in real time to recognize people, vehicles, objects, and behaviors (such as intrusion, loitering, abandoned items, etc.). When anomalies are detected, the system immediately issues alarms, and notification methods can be set (such as email, SMS, App push).

AI Annotation and Training

Managers can use annotation tools to annotate images, marking target objects or behaviors, and then train models through the AI Model Training System. Trained models can be deployed to edge devices to improve recognition accuracy and adapt to different scenario requirements.

AI Recognition and Alarm Sensors (Planned)

The company is planning to integrate various sensors (such as infrared, vibration, door magnetic, etc.) with the AI recognition system, so that when a sensor is triggered, nearby cameras are automatically invoked for image analysis to confirm whether it is a real alarm, reducing false alarms.

Hikvision Multi-Device Synchronized Data Terminal Software

To achieve multi-device data synchronization, the company has developed the Hikvision Multi-Device Synchronized Data Terminal Software, which can integrate Hikvision device data scattered across different buildings into the AI GUARD platform, ensuring data consistency and facilitating centralized management.

Permission and Role Architecture

The system provides detailed permission management, allowing different operation permissions to be set according to roles (such as administrator, security manager, operator), and records operation logs, meeting enterprise compliance requirements.

ELV System (Planned)

ELV (extra-low voltage) system integration is still in the planning stage. In the future, ELV systems such as closed-circuit television, access control, anti-theft alarms, and public address will be brought into a unified platform to achieve more comprehensive building management.

Functional Limitations

The functions of the AI GUARD System depend on the connected devices and network environment, and some AI recognition functions require specific hardware to achieve the best results. In addition, the system's cloud services require a stable network connection, and enterprises are advised to consider network redundancy solutions when deploying.

System Scenarios

The AI GUARD System is suitable for a variety of scenarios, including:

• Multi-Building Enterprise Campuses: Unified management of access control, CCTV, and alarms across buildings for central monitoring.
• Remote Area Facilities: Solve access control management issues in areas with insufficient network coverage through the LTE Rural NFC Card Tap Solution.
• Large Warehouses: Use AI recognition to detect abnormal behavior and prevent theft and vandalism.
• Commercial Office Buildings: Integrate access control and CCTV to enhance visitor management and security levels.

Conclusion

Facing increasingly severe cybersecurity threats, enterprises need a secure, reliable, and easy-to-manage security platform. Through unified deployment, highest-level SSL certificates, and HTTP/2 technology, the AI GUARD System effectively prevents communication interception and intrusion, and integrates the security devices of multiple buildings, allowing managers to perform comprehensive dispatch and eliminate security risks. Whether for corporate security managers or IT decision-makers, the AI GUARD System is an ideal choice for enhancing enterprise security levels.