Project Background
With the rapid advancement of technology and increasing maritime security demands, the Pingtan Maritime Defense Brigade adopted an AI-powered intelligent recognition system to enhance port-area monitoring and operational safety.
The project aims to strengthen port security management and improve operational efficiency through automated, intelligent video analytics.
Project Objectives
Fire & Smoke Detection
Automatically detects flames or smoke within the port area. The system issues instant alarms to prevent fire-related accidents and minimize risks.
Personnel Intrusion Detection
Monitors restricted zones in real time, identifying unauthorized individuals entering controlled areas to ensure port security.
Vehicle Intrusion Detection
Recognizes and records unauthorized vehicles entering the port, helping prevent illegal activities and providing valuable evidence for post-incident investigations.
Technical Implementation
Fire & Smoke Detection
Using deep-learning–based image processing, the system analyzes live surveillance footage to detect visual features of smoke and fire in real time. Alerts are automatically triggered and transmitted to relevant units upon detection.
Personnel Intrusion Detection
High-precision human-shape detection algorithms identify individuals and their behaviors. When unauthorized entry is detected, the system instantly issues alarms.
Vehicle Intrusion Detection
Through license plate recognition and vehicle behavior analysis, the system identifies and logs unapproved vehicles entering the port. This improves border control and strengthens security management.
Project Deployment
Hardware Setup
High-definition surveillance cameras were installed throughout the port area to ensure comprehensive coverage without blind spots.
Software Integration
The AI recognition modules were seamlessly integrated with the existing monitoring system, improving processing speed and response capability.
Data Processing
A cloud-based computing platform was used to store and analyze surveillance data, ensuring system reliability and high performance.
Expected Outcomes
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Significantly improved port-area safety, reducing risks related to fire and unauthorized activity.
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Effective monitoring of personnel and vehicle movements, preventing illegal entry and unsafe behavior.
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Reduced manpower requirements through automated monitoring, improving operational efficiency.
Conclusion
Through this intelligent upgrade, the Pingtan Maritime Defense Brigade has greatly enhanced port safety and demonstrated how AI technologies can effectively address security challenges in traditional maritime operations.
This project provides a strong example of how smart surveillance can support modern port and coastal defense management.