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Industries Telecommunications

Every install photo checked before the technician leaves.

Fibre, fixed wireless and mobile installs are proven with photos. Sight checks each one against what the job requires: the equipment is there, the lights are the right colour, the serial matches the work order.

Site upgrade, sector 2 Photo 4 of 6
Antennas mounted near the top of a mobile tower, each with a label box around it Antenna Antenna
  • Antennas on the mount Pass · 4 of 4
  • Photo sharp enough to assess Pass · Yes
  • Cable labels readable Needs a person · Too far to read
Needs a person
Check
Cable labels readable
Why
Labels are too small in this photo
Ask
Ask for a closer photo of the labels

A stock photo. The boxes are real labels drawn in Sight; the checks shown are an example.

What Sight checks in telecommunications.

Each check is a rule written with you and trained on your own photos. Every answer comes back as pass, fail or needs a person, with the photo and the reason.

  • The right equipment, in the photo

    Each device, panel, antenna and enclosure the job calls for is found and counted. A missing one fails the check, with the photo it was missing from.

  • Status lights read

    Lights on each device are read and compared with what a working install shows. On real install photos, 92 of 92 were read correctly when the device was at least 150 pixels wide. Smaller than that, Sight asks for a closer photo instead of guessing.

  • Serial numbers matched to the work order

    The serial on the label is read and compared with the one on the job, so a swapped or mistyped device is caught the same day.

  • Every required photo present

    A job that needs six photos and has five is flagged while the technician can still take the sixth.

  • A hint while the crew is still there Rolling out

    When a photo is missing or unclear, the person who took it is told what to retake before they leave, not after the job bounces.

  • Reused photos caught Rolling out

    A photo that has already been used on another job is flagged before it is accepted as proof of this one.

In production

In production today on install photos for a national telecommunications contractor. A model trained on those photos scored 0.914 on photos it had never seen.

  1. 01

    Label

    We label your photos, with your people confirming what counts as right.

  2. 02

    Train

    We train and tune a model on them, and score it on photos it has never seen.

  3. 03

    Set up checks

    We write each check with you: what must be in the photo, and what passes.

  4. 04

    Connect

    We connect Sight to the app your crews already use and the systems behind it.

  5. 05

    Stay

    We keep running it, and retrain it as your reviewers correct it.

You hire no machine learning team and buy no infrastructure. How we deliver

Bring a week of install photos.

An engineer who has built this for telecommunications installs will tell you what Sight can check in them, and what it cannot.

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