AI rockfall detection /Image recognition
AI rockfall detection /Image recognition
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With over 20 adjustable parameters and high-resolution optical technology, the system operates seamlessly in both daytime and nighttime environments, adapting to monitoring needs across different timeframes. The model is easily scalable to other rockfall monitoring areas, enhancing its versatility and application scope.
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Highly integrative, the system can incorporate a variety of IoT sensors, such as rain gauges, inclinometers, water level meters, crack meters, extensometers,and other environmental sensing devices.
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Through image monitoring, managers can assess the size of fallen rocks and the impact area to take appropriate response measures. For example, it reduces the wait time for notifications, enhancing the efficiency of response actions.
AI rockfall detection /Image recognition
AI rockfall detection /Image recognition
System Features
System Features
Rockfall Collapse Image Recognition
Rockfall Collapse Image Recognition
As a non-contact monitoring system, it utilizes image recognition with low construction costs, rapid deployment, real-time notifications, high integration, and visual evidence, providing the most direct and effective results.
Alert Notification and Remote Monitoring
Alert Notification and Remote Monitoring
We go beyond, offering peace of mind beyond your expectations. With 24/7 real-time monitoring, you'll receive instant alerts whenever an incident occurs.
Cloud System
Cloud System
The cloud server integrates cybersecurity protection, saves space, and reduces electricity costs. Equipment never ages, eliminating the need for replacing outdated devices.
IoT Transmission
IoT Transmission
Low-cost, stable, and fast transmission with bidirectional control capability, allowing seamless integration with various control devices.
CMS Flashing Alert Function
CMS Flashing Alert Function
When an incident occurs, the CMS will activate flashing alerts to warn drivers of potential rockfall conditions ahead.
Green Energy Option
Green Energy Option
In locations without grid power, solar energy can be utilized, paired with power efficiency management to enhance monitoring effectiveness and quality.
Success Case
Success Case
A Lesson from the Chaoying Landslide: "Falling Rocks Ahead" Warnings Issued for Three Sections in Miaoli County
A Lesson from the Chaoying Landslide: "Falling Rocks Ahead" Warnings Issued for Three Sections in Miaoli County
On June 7th at noon, the Miaoli County Road 126 Slope Monitoring System detected rockfall obstruction, activating the "Falling Rocks Ahead" and "No Entry" warnings. (Image provided by Miaoli County Government)
On June 3, a severe landslide occurred next to Chaoying Park along Highway 2 in Keelung, drawing attention to slope stability issues. The Miaoli County Government has installed slope monitoring systems on disaster-prone sections along Miaoli Route 21, Miaoli Route 62, and County Route 126. On June 7, a "Falling Rocks Ahead" and "No Entry" alert was activated on Route 126, warning travelers for safety.
With over 80% of Miaoli's terrain being hilly, mountain roads like Route 3 are also at risk of slope failure. County Councilor Chen Chun-nuan referred to the landslide near Chaoying Park as a cautionary example and questioned whether the county is prepared, urging proactive slope stability monitoring to prevent accidents.
The county’s Director of Public Works, Ku Ming-hung, explained that high-risk areas have been cataloged for management. Smart disaster monitoring technology has been implemented on Miaoli Route 21 in Nanzhuang Township, Route 62 in Tai'an Township, and Route 126 at the Touwu and Shitan Township border. If abnormal data is detected, LED signs located 50 to 100 meters before and after the area will issue alerts.
Miaoli County Government noted that real-time slope monitoring systems were installed in December on Route 62 at the 2.1 and 6.2-kilometer marks and on Route 126 at the 23.1 and 28.5-kilometer marks. When rockfall remains within the detection area for over 5 seconds, "Falling Rocks Ahead" and "No Entry" alerts activate, and a LINE notification is sent out. To date, 33 rockfall alerts have been reported, with 14 occurring after the April 3 earthquake. Most involved small rocks, with a notable exception on June 7 at 12:02 PM at the 28.6-kilometer mark on Route 126, which posed a safety hazard and was promptly cleared by county workers without further incident.
Additionally, in August of the previous year, a monitoring system was installed on the 12.5-kilometer slope of Route 21. A tilt angle of 0.1 degrees or hourly rainfall over 40 millimeters triggers a yellow warning; a 0.14-degree tilt or 45-millimeter rainfall triggers an orange alert; and a 0.21-degree tilt or 60-millimeter rainfall triggers a red alert, initiating an immediate inspection of terrain changes and necessary follow-up. Since slope reinforcement in early 2023, the Route 21 system has issued ten yellow warnings without further incidents.
Miaoli County Government stated that, in addition to disaster prevention and mitigation, the monitoring systems allow for data analysis of potential disaster risks. This data guides future prioritization of high-risk areas for disaster mitigation measures and serves as a reference for setting up smart disaster prevention systems in the county.
(Image provided by Miaoli County Government)
(Image provided by Miaoli County Government)
(Image provided by Miaoli County Government)
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