AI Traffic Sign Inventory

Turn captured street imagery into a more useful sign inventory. Attrack detects and classifies traffic signs, reads their text with OCR, and connects asset observations to their location.

Detect and classify roadside signs

Identify traffic signs in captured imagery and organize observations by sign type. A mapped inventory helps road authorities and survey teams understand which assets are present along the surveyed network.

Read sign text with OCR

Optical character recognition extracts text visible on signs to support richer asset records. Define the sign types, languages, and capture conditions your project needs during a technical scoping session.

Keep asset records connected

Use GIS-ready outputs to bring sign observations into your existing asset management workflow. Combine location, classification, and extracted text with the records your team uses for inspections and maintenance.

Explore the AI processing workflow
AI bounding boxes detecting and reading traffic signs on a night street

Plan your pilot

Share sample street imagery, your sign classification scheme, the languages appearing on signs, and your existing GIS fields. Tell us whether you are building a new inventory or updating an existing one.

Discuss your project

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