Vehicles already drive most streets every week, but the defects they pass are only reported when someone complains. Cameras on those routes can flag likely defects with a photo and location, while inspectors keep the final say. These four steps keep the scope narrow, protect privacy and tie every confirmed defect to a work order.
Step 1 — Choose the defects that matter
Goal: Agree a short list of defects worth detecting.
- List the defects that cause the most complaints, claims or safety risk.
- Pick two or three to start, such as potholes, damaged signs or blocked paths.
- Write a plain definition and example photos for each.
- Agree who confirms each defect type and how work orders are prioritised.
You finish with: A short defect list with definitions, examples and owners.
Step 2 — Capture on existing routes
Goal: Collect usable images without extra drives.
- Choose vehicles that already cover the target streets regularly.
- Mount cameras and record location with every image.
- Decide what is processed on the vehicle and what is sent for review.
- Blur faces and number plates before images are stored or reviewed.
You finish with: Located, privacy-protected images from routine routes.
Step 3 — Flag and confirm
Goal: Put likely defects in front of an inspector.
- Flag likely defects with a photo, location and defect type.
- Group repeat flags at the same location.
- Have an inspector confirm, reject or reclassify each flag.
- Create a work order only for confirmed defects.
You finish with: Inspector-confirmed defects with work orders.
Step 4 — Measure and refine
Goal: Show earlier detection and a lower review load.
- Track the share of flags confirmed by inspectors.
- Track time from capture to work order.
- Compare defects found by drives with those found by complaints.
- Use rejected flags to tighten definitions and the model.
You finish with: Measured results and a list of improvements.
Common pitfalls
- Trying to detect every defect type at once.
- Creating work orders without an inspector confirming them.
- Storing images with visible faces or number plates.
- Adding dedicated drives instead of using routes vehicles already cover.