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SPEPC TECHNOLOGY
Solution
Railway Duty Room On-Duty Status Management Solution
Background Introduction
Key positions such as the railway dispatching room, duty room, and signal tower require personnel to maintain a high level of alertness around the clock.
However, during night shifts, personnel are prone to drowsiness and leaving their posts, making it difficult for traditional patrols to achieve full coverage. Although video surveillance is in place, it relies on manual monitoring, which is inefficient and susceptible to missed reports.
Therefore, an AI‑based video‑behavior analysis system for monitoring on‑duty status should be implemented to automatically detect violations such as dozing off, leaving one’s post, or using a mobile phone, issue real-time alerts, and maintain records, thereby enhancing workplace discipline and operational safety.
Solution Overview
This solution employs AI‑powered smart cameras (equipped with an integrated neural network processor) to provide real-time monitoring of the duty room.
Using deep-learning algorithms, the camera automatically detects facial orientation, eye‑open/close status, and body movements, identifying behaviors such as falling asleep at the post (prolonged closed eyes), leaving the post (prolonged absence from the designated area), using a mobile phone, and yawning.
When a violation is detected, the camera’s edge computing node immediately generates an alarm signal and notifies management personnel via on-site audio‑visual alerts, platform pop-up notifications, SMS messages, and other methods.
The system supports multi-channel video patrol, historical footage playback, and violation‑statistics reporting, enabling visualized, intelligent management of workstation status.
FEATURES OF THE SOLUTION
AI Edge Computing
Multi-action precise recognition
Real-time alert correlation
Privacy-by-design
Statistical Reports and Performance Evaluation
Real-time anomaly alerting
Platform Display
The automated slope‑monitoring system platform along railway lines is a critical technological solution for ensuring railway safety. By deploying various sensing devices—such as displacement sensors and tilt sensors—on the slopes, it continuously tracks deformation, movement, and inclination in real time. Leveraging advanced data‑processing and analytical algorithms, the system can swiftly and accurately identify potential geological hazard risks and issue timely alerts. The platform also includes a remote monitoring and management center, enabling operations and maintenance personnel to access slope‑monitoring data in real time and implement appropriate response measures based on data analysis. With its features of automation, intelligence, and robust real-time performance, this system helps safeguard railway operations and mitigate latent disaster risks.
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Contact Information
6th Floor, Building 10, Entrepreneurship Industrial Park, Chaoyang Township, Qixing District, Guilin City, Guangxi Zhuang Autonomous Region
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