Case Study | Chuling Empowers Manufacturing Safety with AI: Making Production Safety "Visible and Controllable"

In production workshops, whether workers properly wear face shields and gloves, or violate fire safety rules in no-smoking zones, directly impacts enterprise safety. However, risk points are scattered across the facility. Relying solely on manual inspections by safety officers is inefficient, has limited coverage, and inevitably leaves blind spots in supervision.

The company in today's case faces the same issues as above. In the past,Its security management relies heavily on manual inspections, leading to low efficiency, limited coverage, and a high risk of oversights.To address these challenges, the enterprise decided to implement an AI-powered intelligent recognition system. Chuliu Shares (Stock Code: 300250) ultimately won the bid with a solution tailored to its business scenarios, helping upgrade workplace safety from "human monitoring" to "AI monitoring."

Three Key Challenges in Corporate Security Management

The company'sSecurity Management Pain Points, mainly reflected in three aspects:

First, chemical operation risks are difficult to fully monitor manually.

In roles involving corrosive chemicals, ensuring employees properly wear acid-resistant sleeves, gloves, and face shields used to rely solely on on-site supervisors. This approach is inefficient; prolonged monitoring leads to fatigue, resulting in missed violations.

Second, comprehensive smoke-free management across a wide area with numerous locations.

No smoking allowed across the entire facility. Manual patrols offer limited coverage and delayed response times.

Third, hazard remediation is difficult to close the loop.

After violations are detected, notification, enforcement, and rectification feedback often rely on verbal communication and paper documents, leading to situations where issues are found but never resolved.

In short, it comes down toIncomplete coverage, insufficient frequency, and delayed response.。

Chuling AI-Powered Security Intelligent Recognition Solution

From "Human-to-Human" to "AI on the Job"

To address real-world customer scenarios, Chu Ling offersA "Center-Edge-Endpoint" three-tier collaborative intelligent architecture solutionEnables precise layering of computing resources and efficient task coordination.

Edge · Omni-Perception Layer

Edge-side solution for "visibility"Responsible for 24/7, all-encompassing video capture.

Reuse existing fixed camerasThe solution integrates existing surveillance cameras, network equipment, and storage nodes within the facility into a unified management system. This approach protects prior investments while shortening the deployment timeline.

Mobile Control BallSupports 4G/5G wireless transmission and remote PTZ control. Ideal for temporary operations or high-risk areas: deploy the surveillance ball wherever needed, extending coverage beyond fixed points to wherever risks arise.

Combining fixed and mobile deployments creates a comprehensive frontend sensing network that covers the entire facility, ensuring video data collection with no blind spots.

Edge · Intelligent Computing Layer

Edge-side solution to the "understandability" challengeFrom detecting an anomaly to triggering an alert in milliseconds—no need to send data remotely and wait for results.

AI-Powered Analytics Server: Built-in high-performance GPU compute unit for real-time decoding and preprocessing of multiple video streams, enabling real-time analysis at the edge near the data source.

AI AlgorithmThe solution includes over 15 AI-powered safety recognition algorithms, covering common factory hazards such as hard hat and PPE compliance, smoking in no-smoke zones, unauthorized personnel absence, open flames and smoke detection, and area intrusion.

Central Side · Management Application Layer

The central side addresses the issue of "having control."Turn side-identified hazards into actionable, trackable management tasks.

Integrated Management PlatformCentralized management of all frontend devices and edge servers to support continuous AI model optimization and iteration. Aggregates alerts and analysis results from edge nodes for multi-dimensional statistical reporting, visualization, and deep insights, providing data-driven support for global situational awareness and decision-making.

Deployment: On-premise, data stays within the factory.

Video stream data is transmitted over the company's dedicated private network, physically isolated from the public internet. AI analysis and processing are deployed on local servers within the factory data center or edge computing facilities.The entire process—from collection and transmission to analysis—is closed-loop within the facility. "Data never leaves the site," providing dual physical and logical protection for sensitive information.

Tangible Value: Changes Across Three Dimensions

This solution from Chuling offers more than just "an extra pair of eyes."A systematic upgrade to safety management models：

• Regulatory Mode: From Human Monitoring to AI Monitoring.

All-day, all-angle, millisecond-level detection to address gaps in manual inspection coverage and response delays.

• Closed-loop management: from hazard identification to zero hazards.

Each alert is linked to a work order, responsible person, and review process. Unresolved alerts automatically escalate after the deadline, ensuring corrective actions are effective rather than perfunctory.

• Data Security: From "Dispersed Data" to "Data Stays Within the Factory."

Video and analysis results are processed and stored entirely within the factory's intranet. With physical network isolation, this approach meets confidentiality requirements while establishing a traceable and auditable security log.

Can this model be replicated?

Yes, it is.

This company's practices offer valuable reference for similar manufacturers: requirements such as hazardous chemical operations, no-smoking policies, and data confidentiality—which may seem independent—can be unified under a single AI-powered visual monitoring system. This transforms safety from a mere "management requirement" into an actionable "system capability."

Chuleng leverages over two decades of technical expertise in the telecommunications sector.Equipped with full-service capabilities spanning solution design, algorithm adaptation, on-site deployment, and long-term operations, we empower enterprisesEnd-to-end closed-loop solutions for network foundation, data empowerment, and AI deployment.。

If your enterprise faces similar security management challenges, reach out to us. Let's discuss how to implement a solution.