Applications of AI Surveillance in Gas Stations

The practice of LPR & virtual fence

With Taiwan's dense road networks and high vehicle density, gas stations are widely distributed across the island, boasting over 2,500 stations in total. On average, each of the 319 townships would have approximately eight stations, with even greater concentration along major traffic routes.

In efforts to enhance operational efficiency and reduce costs, most gas stations have adopted streamlined staffing models. A common feature is the "self-service pump," where customers refuel independently, often with a discount as an incentive. This self-service approach has become a prevailing trend across Taiwan.

Given the reduced presence of on-site personnel, effectively managing the premises and monitoring operations increasingly relies on advanced surveillance systems. LILIN's AI framework offers a range of practical solutions, including:

  • Prolonged Vehicle Presence Detection
    To maintain optimal traffic flow, vehicles should vacate the fueling area promptly after refueling. LILIN’s smart monitoring system designates time-sensitive zones and tracks vehicle presence. Should a vehicle remain for too long, an alert is triggered to notify the staff.
  • Restricted Area Intrusion Detection
    Gas stations are inherently high-risk environments, with certain areas restricted to authorized personnel only. Surveillance cameras equipped with intrusion detection capabilities monitor these zones, promptly issuing alerts when unauthorized access occurs.
  • Traffic Flow Monitoring
    Conventional methods of manually counting or tracking traffic at pump stations are inefficient and lack precision. LILIN’s smart cameras automatically record the number of vehicles entering each fueling station, providing accurate, real-time data to aid in operational optimization, policy adjustments, and congestion management.

 

Furthermore, car wash facilities—commonly found at gas stations—also benefit from these innovations. Comprehensive video recording helps mitigate potential customer disputes, while integrated license plate recognition systems can establish VIP databases, enabling tailored promotions and personalized service experiences.

LILIN’s intelligent surveillance solutions significantly streamline these operations. Traditionally, implementing such features required a complex integration of cameras, processing units, and additional hardware/software systems, often leading to increased costs and operational complexity.

LILIN’s all-in-one solution handles image recognition directly within the cameras, transmitting AI-processed data and live video feeds to the Navigator system for centralized management. For backend system integration, engineers can easily leverage LILIN’s open-source Python or C# SDKs available on GitHub to access metadata, event logs, or video footage, thereby greatly reducing the technical burden.

"A seamless solution is key to achieving operational excellence. By simplifying both hardware and software deployments, we not only streamline implementation and maintenance but also reduce the learning curve associated with system integration."

In Taiwan, gas stations, like convenience stores, cannot afford interruptions due to surveillance system maintenance. As such, reliability and stability are paramount when selecting solutions. This is why LILIN’s intelligent surveillance systems have been deployed at key traffic hubs across the country. Next time you stop for fuel, you’ll likely notice them in action—just look up.

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