Project Background: High-risk security Challenges in Island oil depots

This oil storage area is located on an independent small island, adjacent to farmland, and has long faced problems such as lawbreakers crossing over and stealing cables. The original security system has obvious shortcomings:

• Technical flaws: The false alarm rate of the traditional video surveillance + tension fence + infrared solution exceeds 30%, and false alarms occur frequently
• Environmental interference: The island's climate is humid and windy, and animal activities are frequent, resulting in an average of over 10 false alarms per day
• Response lag: Unable to precisely locate the intrusion point, security personnel are struggling to deal with ineffective alerts

Solution: AI optical fiber sensing perimeter protection System

Our company adopts distributed optical fiber vibration monitoring + AI behavior recognition technology to achieve triple upgrades:

• Precise identification: Deploy sensor optical cables along the fence to intelligently distinguish between human intrusion (climbing over/cutting) and animal activities (birds/wildcats)
• Multi-level linkage: After the alarm is triggered, the system automatically:
• ✅ Location of intrusion coordinates in seconds (error < 3 m)
• ✅ pops up the live high-definition screen and starts the tracking video
• ✅ sends alert messages to security terminals
• Anti-interference design: Through machine learning algorithms, the filtering rate of environmental noise such as wind, rain and swaying vegetation is increased to 99%

Implementation results: From being overly vigilant to precise defense

• False alarm rate has dropped by 98% : from over 10 times per day to once every few days
• 100% early warning for theft incidents: Successfully prevented multiple night intrusions
• ✔ Improved operation and maintenance efficiency: Reduced security manpower input by 40%, focusing on real threats