Smartphone-based Pavement Condition Evaluation System "DRIMS" Listed in MLIT's "Inspection Support Technology Performance Catalog"
NQ Score
100/100
AI Summary (NQ-processed)
JIP Techno Science Co., Ltd.'s smartphone-based road condition evaluation system, DRIMS, has been included in the Ministry of Land, Infrastructure, Transport and Tourism's (MLIT) "Inspection Support Technology Performance Catalog." This system leverages smartphone sensors and AI image analysis to efficiently assess road conditions like cracks, rutting, and IRI, contributing to advanced road maintenance and disaster preparedness.
AI analysis data is not yet available.
Frequently Asked Questions
- Q: What is the full name and pronunciation of the smartphone-based pavement evaluation system developed by JIP Techno Science Co., Ltd.?
- A: The system is called DRIMS, which stands for Dynamic Response Intelligent Monitoring System, and it is pronounced 'Dorimuzu' according to JIP Techno Science Co., Ltd.
- Q: Which Japanese government ministry listed DRIMS in its 'Inspection Support Technology Performance Catalog' and when was it published?
- A: The Ministry of Land, Infrastructure, Transport and Tourism listed DRIMS in its catalog, which was published in April, Reiwa 8 (2026).
- Q: In which two editions of the MLIT catalog was the DRIMS system included as a registered technology?
- A: DRIMS was listed in both the 'Pavement Edition' and the 'Road Patrol Edition' of the MLIT Inspection Support Technology Performance Catalog.
- Q: What specific road condition metrics can DRIMS measure using smartphone sensor and camera data?
- A: DRIMS can measure crack ratio, rut depth, and IRI (International Roughness Index) using data from smartphone accelerometers, angular velocity sensors, GPS, and cameras.
- Q: What advantages does DRIMS offer over traditional road measurement methods according to the announcement by JIP Techno Science?
- A: DRIMS eliminates the need for dedicated measurement vehicles by operating with a general passenger car and uses AI image analysis to automatically detect damage and visualize results on a map.