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Identify equipment from inspection photo and append inspection conclusion to database

Input types:
PhotosInspection databases

Photo of a motor taken during routine inspection, matched against inspection history database, and addition of latest inspection to history database.

Input:

Nidec motor with visible nameplate showing type DB085D50E00
inspection_history.xlsx349 rows · 11 columns
P/NSerialManufacturerTypeLocationInspection DateInspectorCondition ClassFindingsActionStatus
Download .xlsx

Output:

We extracted:

  • Manufacturer
  • Type
  • P/N
  • Serial number

We found:

  • Serial number
  • Inspection history

We derived:

  • Condition trend
  • Proposed action
  • Next inspection date
  • Findings

Output preview:

✓Nameplate legible and complete
✓Serial number present in maintenance database
✓No visible structural damage
!Exposed wiring near terminal block
!Dust accumulation exceeds acceptable level
Inspection passed
2Warnings
EquipmentNidec DB085D50E00, P/N 807252402, SN 0016093703
FindingsDust buildup, exposed wiring(moderate)
Proposed actionClean and re-insulate within 60 days
TrendGood → Good → Good → Fair(declining)
Next Inspection2026-04-27(90 days)

Updated inspection database:

SerialDateInspectorConditionFindingsActionStatus
00160937032026-01-27L. DuboisFairDust buildup, exposed wiringClean and re-insulate within 60 daysOpen
00160937032025-07-14J. PeetersGoodMinor dustClean during next serviceClosed
00160937032025-01-20M. ClaesGoodNoneNo action neededClosed
00160937032024-07-15J. PeetersGoodNoneNo action neededClosed
SN 0016093703 → 3 inspections in 349 records · new record added · next due 2026-04-27

Can deal with:

  • Poor lighting in industrial environments
  • Partially damaged or worn labels

Also applicable in the following contexts:

  • Warehouse stock management
  • Field service management

Would you like a demo tailored to your data or workflow?

Send us a few of the documents your team handles manually (PDF, scan, photo) along with a short description of what you need: which fields to extract, the output format you'd like, and any specific requirements. We'll process them and return a structured result so you can judge for yourself.

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