Auto Parts Manufacturing Park is a large-scale manufacturing base covering an area of 800 mu (approximately 53.33 hectares), with 3 Class-A hazardous operation areas and more than 2,000 employees. With the expansion of the park’s production capacity, the drawbacks of the traditional security system have become increasingly prominent, and safety management has fallen into a dilemma of “overloaded manpower, delayed response, and uncontrollable risks”. In the second half of 2024, the park introduced the TWOWIN T218 Jetson Orin Nano AI Edge Box to build a smart security system. In just 3 months, it achieved remarkable results: the safety accident rate dropped by 85% and labor costs decreased by 30%, making it a benchmark case for security upgrades in the regional manufacturing industry.

I. Core Pain Points of the Customer: Three “Shackles” of Traditional Security

As a typical heavy-industry manufacturing park, Hengxin’s previous security system was mainly based on “cameras + manual monitoring + post-event traceability”, which exposed three fatal problems in complex scenarios:

Unbearable Burden of Bandwidth and Storage The park deployed 120 HD cameras, and the full video stream was transmitted back to the central computer room in real time, resulting in the dedicated line bandwidth occupancy rate remaining above 90% for a long time, incurring an additional monthly bandwidth expansion cost of nearly 30,000 RMB. At the same time, a large amount of video data needed to be stored for 90 days, and the annual storage operation and maintenance cost of the central server cluster was as high as 150,000 RMB. Moreover, when retrieving data, the picture was often blurred due to excessive compression, losing traceability value.

Fatigue-induced Missed Judgment Trap in Manual Monitoring The park had 28 security personnel working in three shifts, responsible for monitoring 120 surveillance screens and patrolling 3 hazardous areas. However, after monitoring the screen for more than 40 minutes, people’s attention would drop by 60%. In the first half of 2024, there were 3 incidents of “monitored but not responded in time” — one of which involved an employee entering a hazardous area without wearing a safety helmet, who was only discovered after a minor collision; another incident was a nighttime perimeter intrusion, and the suspect was only identified the next day when reviewing the video.

3. Lag Dilemma in Emergency Response The traditional security system is a “post-event remedy” model. The average time from the occurrence of an incident to manual discovery, reporting, and handling exceeds 8 minutes. For key areas of the park such as hazardous chemical storage areas and welding operation areas, once incidents such as fireworks leakage and illegal operations occur, each delayed second may lead to serious accidents. In an incident in April 2024 where welding sparks ignited waste materials, the monitoring room failed to detect it in time, causing the fire to spread to the temporary warehouse, resulting in direct losses of over 200,000 yuan.

II. Solution: “Edge Intelligence Revolution” of T218 Orin Nano AI Edge Box

To address the park’s pain points, the technical service provider proposed an upgrade plan of “edge computing power sinking + intelligent precise early warning”. The core was to deploy Orin Nano Smart Boxes at 15 key monitoring nodes (3 entrances and exits of hazardous areas, 4 perimeter high points, and 8 main passages) to build a distributed smart security network. This plan did not require replacing existing cameras; it only needed to connect the smart box to the RTSP protocol to activate intelligent analysis capabilities, realizing “plug-and-play” rapid deployment.

1. Edge Computing Solves Bandwidth and Storage Problems With 40 TOPS of AI computing power, the Orin Nano Smart Box transfers video analysis tasks from the central computer room to the front end of the monitoring system. It only uploads structured data of identified abnormal information (such as illegal personnel, dangerous behaviors, and suspicious vehicles) instead of the full video stream. Tests showed that the bandwidth occupancy of a single camera dropped from the original 2 Mbps to less than 0.2 Mbps, reducing the overall bandwidth cost by 85%; key event videos are stored locally, reducing the storage pressure of the central server by 90% and saving more than 120,000 yuan in annual operation and maintenance costs.

2. AI Algorithm Builds a 24/7 Intelligent Defense Line Based on the high-performance computing power of the Orin Nano Smart Box, a customized “personnel behavior + equipment status + environmental risk” three-in-one intelligent recognition algorithm was developed: in hazardous areas, it real-time identifies illegal behaviors such as not wearing safety helmets, not wearing work clothes, and crossing warning tapes, with a recognition accuracy of 99.2%; in perimeter areas, through the infrared night vision enhancement algorithm, the nighttime intrusion recognition accuracy exceeds 90%, solving the problem of “night blindness” in traditional monitoring; in public areas, it intelligently detects abnormal situations such as fireworks, crowd gatherings, and falls, with a response delay controlled within 0.5 seconds. Once an abnormality is detected, the smart box immediately links the on-site sound and light alarm and pushes an early warning message with on-site screenshots to the security personnel’s mobile APP, realizing a closed-loop management of “early warning – dispatch – handling”.

3. Data Collaboration Breaks Through “Information Silos” in Management The Orin Nano Smart Box connects with the park’s existing access control, attendance, and emergency command systems through API interfaces to achieve data intercommunication. For example: when the smart box identifies an unregistered external person, it automatically triggers the access control system to prevent them from entering the core area; it automatically summarizes and generates daily illegal behavior data into reports, providing accurate basis for safety training. In October 2024, the system found through data analysis that the violation rate of employees not wearing safety helmets in a workshop was relatively high. After the park carried out targeted special training, the violation rate dropped by 78%.

III. Implementation Effects: Dual Leap in Safety and Efficiency

After the deployment of the T218 Jetson Orin AI Edge Box, the security system of Hengxin Park has achieved a qualitative change from “passive defense” to “active early warning”. The specific effects are reflected in three dimensions:

1. Significantly Improved Safety Risk Prevention and Control Capability The recognition efficiency of illegal behaviors in hazardous areas has increased by 4 times, and no safety liability accidents occurred in the fourth quarter of 2024; the false alarm rate of the perimeter has dropped from more than 15 times a day to less than 1 time, and the effective handling rate of security personnel has increased to 100%. In November 2024, the system successfully warned of a minor leakage incident in the hazardous chemical storage area. Security personnel arrived at the scene for handling within 1 minute, avoiding a major accident.

2. Substantial Optimization of Labor Costs Intelligent early warning has replaced 80% of manual monitoring work. The park has reduced the number of security personnel from 28 to 19, saving more than 600,000 yuan in annual labor costs; after optimizing the patrol route through intelligent data analysis, the invalid patrol mileage has been reduced by 40%, and the security work efficiency has been significantly improved.

Upgrade of Compliance and Management Level All sensitive video data is encrypted and stored locally, complying with data privacy protection regulations; the intelligently generated safety reports provide accurate basis for regulatory inspections. In the industry safety review at the end of 2024, Hengxin Park obtained the highest rating. In addition, the expandability of the Orin Nano Smart Box supports the subsequent access of modules such as UAV inspection and intelligent fire protection, reserving space for the long-term safety upgrade of the park.

IV. Summary of Core Value of the Case

The application of the T218 Jetson Orin Nano AI EdgeBox in Park has accurately solved the core pain points of traditional security, such as “high bandwidth, frequent missed judgments, and slow response”. Its essential value lies in sinking high-performance AI computing power to the front end of security. Through the model of “local analysis, precise early warning, and data collaboration”, the security system has been upgraded from “visible” to “understandable, early warning, and quick handling”. For complex security scenarios such as manufacturing parks, logistics bases, and large communities, this intelligent solution with “lightweight deployment, high cost-effectiveness, and strong scalability” has become one of the best choices for security upgrades.

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