Challenges
Most of the existing potholes are detected more by civil complaints or reports from residents, which is due to the lack of equipment and manpower required for their management compared to road extensions, which are subject to management by road management agencies. Therefore, business conversion to AI technology and intelligent platform method is required.
- The road surface damage investigation method is a manual method that relies on human resources such as civil complaints and visual checks by managers, and limited information collection, equipment operation difficulties, and high costs occur.
- Lack of visual verification data to support programmatic and data-driven decision making
- Data is critical for capital improvement planning and maintenance budgeting, but there are limitations in obtaining accurate and up-to-date data.
- Deterioration of the road surface due to deterioration, temperature change, and traffic of overloaded vehicles frequently causes traffic accidents, and social and economic damages are increasing as a result. Therefore, a plan to detect and efficiently control/manage them is required.
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SOT1000
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Commercial vehicle
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AI(Artificial Intelligence) Analysis
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Porthole location transfer with accurate data analysis
- The automatic road surface damage detection terminal automatically detects road surface damage and provides information, thereby converting the current manual type into an automatic type. Through scientific road maintenance, significant reduction in manpower/time/cost and accident prevention can be expected.
- In order to meet the growing demand for road survey and maintenance, a platform capable of real-time survey and automatic recording is an essential technology, and road management costs can be reduced by applying a road surface damage image recognition system.
- This technology, which uses a vision sensor to apply an image recognition algorithm, can be used as a safe driving function essential for future traffic environments such as self-driving vehicles and next-generation ITS, in addition to road surface damage detection.