Have AI check fibre and mast installations by photo

Technicians have fibre and mast installations checked by photo

Needs setupAI Act: no extra obligationsInspecting by cameraTelecommunications

Fits: Field service & trades

Faults in the home connection, splice cassette or antenna mounting are spotted while the technician is still on site. Return visits, disputes at acceptance and incomplete documentation become less frequent.

Is this for you?

  • Your technicians or subcontractors already document installations with photos.
  • You have many installations of the same kind, such as home connections in a fibre rollout or standard set-ups on masts.
  • Acceptance often fails because of missing or unusable photos, or because of faults that were already visible in the photos.
First step today

Take five documentation photos from completed jobs with a known acceptance result, including at least one with a defect. Crop out people, home furnishings and addresses, and have the photos checked against your inspection points with the template below.

How to go about it

  1. Define inspection points for each type of installation
  2. Set up photo requirements in the technician app
  3. Collect accepted and rejected photos
  4. Test the check and set limits for follow-up review
  5. Build the check into job completion and acceptance
  6. Regularly review wrong results and new defects

Templates to copy

Try it now
in the training
Analyse
in the training
Plan the rollout
in the training
Included in the training

The complete guide

  • 6 steps explaining exactly what to do
  • 3 proven templates to copy into your own AI
  • Safe use: data, checking, deciding, informing
  • Pitfalls, effort and how to recognise success

With the training you get all 430 guides for as long as your access runs.

See the trainingOne-off per person, no subscription

Same approach, other use cases

24 more use cases follow the pattern “Inspecting by camera”.

Have AI estimate nutritional values from food photosIdentify plant diseases and pests from photosAnalyse match situations and movements on videoDetect damage to parcels and pallets by cameraDetect forest damage by satellite and droneDetect missed scans and theft at self-checkoutsDetect missing protective equipment and hazards with camerasDocument construction defects and progress with photosFind heat losses in the district heating network by thermal imagingHave AI correct exercise technique via cameraIdentify animal species in camera trap and audio recordingsInspect products on the line by camera
‹ PreviousSee all use casesNext ›

TK-06 · Legal status 08.10.2026