Jalonne
Road infrastructure data platform using smartphone crowdsourcing and AI to detect road defects for road maintainers
Highlights
- New on EvolcAdded 2026-10-28
About Jalonne
Jalonne builds Jalonne RoadData, a road infrastructure information system. It collects street and road images through crowdsourced smartphones, uses AI and machine vision to detect defects from images and sensor data, and lets users measure dimensions at selected locations. Collected data can be explored through a web user interface and sent automatically to planners and job control systems via a machine interface.
The product is aimed at road maintainers and is designed to reduce running costs by detecting defects and measuring objects remotely. Personal data such as people and vehicles is automatically detected and anonymised to comply with GDPR.
Jalonne Oy is registered in Tampere, Finland, where it is headquartered, and was founded in 2015.
Product: Jalonne RoadData: a road infrastructure information system with crowdsourced image capture, AI defect detection, remote measurement and a web interface.
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