With the large-scale development of industrial parks, characteristics such as frequent personnel flow, dense vehicle entry and exit, and wide perimeters have posed severe challenges to traditional security models. A comprehensive industrial park in a national-level economic and technological development zone previously adopted the “manual inspection + traditional monitoring” model, which suffered from heavy reliance on labor, delayed abnormal response, and fragmented systems. Even with over 120 security personnel on shift, missed detection incidents still occurred. The false alarm rate for vehicle congestion and perimeter intrusion reached as high as 30%, and the average emergency response time exceeded 15 minutes. To address these pain points, the park introduced the Twowin T818 Edge Computer 16GB AI Edge Box and built a smart security system featuring “full-domain perception, intelligent analysis, and linked disposal,” achieving dual improvements in security management efficiency and operational benefits.

I. Core Project Requirements and Product Adaptation Logic

Covering an area of 2.3 square kilometers, the park includes production workshops, R&D buildings, employee dormitories, parking lots, and a 3.2-kilometer perimeter. It has three core requirements: first, real-time analysis of high-definition videos in multiple scenarios, covering 18 personnel entrances and exits, 12 vehicle entrances and exits, and 26 perimeter monitoring points; second, accurate identification of intelligent events and second-level response, including personnel identity verification, vehicle management, and abnormal behavior detection; third, stable operation in extreme environments, adapting to the park’s outdoor low temperature of -15℃ and equipment room high temperature of 65℃.

The hardware parameters and functional characteristics of the T818 Edge Computer 16GB form an accurate match: the basic computing power of 70/100 TOPS (157 TOPS in Super Mode) combined with the Jetson Orin NX AI platform provides computing support for multi-algorithm parallel operation; the 18-channel 1080p30 H.265 video decoding capability can meet the synchronous analysis needs of 56 surveillance videos in the entire park; the operating temperature range of -20℃ to 70℃ and fan cooling design adapt to the complex environment of the park; the rich interface configuration (2 Gigabit Ethernet ports, RS485, GPIO, etc.) enables seamless linkage with access control, barriers, acousto-optic alarms and other equipment.

II. Solution: Hardware Deployment and Intelligent System Construction

2.1 Distributed Hardware Deployment Architecture

Based on the park’s principle of “zoned management and centralized scheduling, 8 units of T818 Edge Computer 16GB are deployed to form an edge computing node network:

• Entrance and Exit Nodes: One device is deployed at each of the 4 main personnel entrances and exits and 3 vehicle entrances and exits. The POE function is used to directly power the high-definition cameras, reducing wiring costs; the 16GB 128-bit LPDDR5 high-speed memory is used to realize real-time caching and comparison of face and license plate data.
• Perimeter Nodes: Three devices are deployed at key inflection points of the perimeter. Dual Gigabit Ethernet ports are used to access monitoring equipment in different network segments to ensure stable video stream transmission; external NVMe SSDs are used to realize local storage of abnormal event videos, avoiding data loss caused by network interruption.
• Scheduling Center: The analysis results of each node are connected to the large screen through the HDMI 2.0 interface to realize visual display of the security status of the entire park; the M.2 Key E interface is used to expand the 4G module to ensure the transmission of alarm

2.2 Core AI Algorithms and Scenario Implementation

Relying on the 1024 NVIDIA Ampere architecture GPUs and 32 tensor cores of the T818 Edge Computer 16GB, three core algorithms (personnel recognition, vehicle feature extraction, and abnormal behavior analysis) are loaded to realize intelligent management and control in multiple scenarios:

Intelligent Verification at Personnel Entrances and Exits

The device decodes the video streams of 2 channels of 4K30 cameras in real time, performs face detection and feature extraction on incoming and outgoing personnel, and completes the comparison with the park’s employee database (12,000 people) within 1 second. For unauthorized personnel, the system immediately triggers the access control lock linked with the GPIO interface, and controls the acousto-optic alarm through the RS485 interface to remind security personnel; for visitors, the ID card reader connected through the Type-C OTG interface can be used to complete information entry and realize temporary permission issuance. In this scenario, the multi-threading capability of the device’s 8-core Arm® Cortex®-A78AE CPU is fully utilized, supporting parallel processing of 4 channels of personnel verification at the same time

Accurate Vehicle Management and Traffic Optimization

To address the problem of complex lighting at parking lot entrances and exits, the device uses its powerful video decoding capability to process the video stream of 1 channel of 4K60 H.265, and clearly extracts license plate information through the image enhancement algorithm, with a recognition accuracy of 99.2%. The system automatically associates vehicle registration information, realizing second-level barrier lifting for authorized vehicles; for blacklisted vehicles, it immediately links the barrier controlled by the CAN-FD interface to lock, and pushes the vehicle information to the security handheld terminal. At the same time, the device counts traffic data through AI algorithms and generates traffic heat maps during peak hours, providing data support for the scheduling center to optimize the lane configuration at entrances and exits.

Perimeter Intrusion and Abnormal Behavior Early Warning

In the perimeter monitoring scenario, the device enables Super Mode (157 TOPS computing power) to synchronously analyze the video streams of 6 channels of 1080p60, accurately identifying abnormal behaviors such as climbing over walls, loitering, and running quickly. When an intrusion event is detected, the system completes the closed-loop response of “alarm information push – linked light deterrence – video screen focusing” within 0.8 seconds; it links the infrared correlation device through the RS232 interface to realize “visual + infrared” dual verification, reducing the false alarm rate from 30% in the traditional mode to 0.8%. In the low-light environment at night, the device ensures recognition accuracy through algorithm optimization, and cooperates with the infrared function of the camera to realize 24-hour all-round monitoring.

III. Implementation Effects and Value Manifestation

After the deployment of the solution, the park’s security has achieved a transformation from “passive response” to “active defense”, with core benefits reflected in three aspects:

1. Significant improvement in security management efficiency: The disposal time of perimeter intrusion incidents has been reduced from 15 minutes to less than 2 minutes, the verification efficiency at personnel entrances and exits has increased by 60%, and the incidence of unauthorized personnel breaking in has decreased by 92%; the vehicle passing speed has increased to 15 seconds per vehicle, and the congestion time during peak hours has decreased by 40%.
2. Substantial reduction in operating costs: The number of security personnel has been reduced from 120 to 55, saving about 4.8 million yuan in annual labor costs; the improved stability of the equipment has reduced maintenance costs by 35%, and the equipment failure rate is 0 in the winter low temperature of -20℃ and summer high temperature of 70℃.
3. Enhanced system scalability: The open interface of the T818 Edge Computer 16GB supports the subsequent access of systems such as fire smoke detectors and emergency broadcasts. At present, the linkage between fire alarm and video monitoring has been realized, and the response time for abnormal fire identification has been reduced to 3 seconds.

IV. Case Summary

This case effectively solves the pain points of traditional park security such as labor reliance, delayed response, and high false alarm rate through the core advantages of the T818 Edge Computer 16GB, including high computing power, multiple interfaces, and wide temperature adaptation. The combination of its Jetson Orin NX AI platform and NVIDIA Ampere architecture GPUs provides strong computing support for multi-scenario AI analysis; the rich peripheral interfaces realize in-depth linkage of security subsystems; the wide-temperature heat dissipation design ensures stable operation in complex environments. This practice proves that the T818 Edge Computer 16GB can provide an efficient “edge intelligence + full-domain linkage” solution for the smart security field, helping various parks and factories realize the intelligent upgrade of their security systems.

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