DF-01Fundacional
Pipeline de OCR para Documentos de Campo
Turns decades of scanned reports, logs and maps into searchable text, including Persian and Arabic documents and handwritten annotations.
Fundamento de DatosIA
HS-05FundacionalOla 2IA
OCR de Placas y Etiquetas de Equipos
En una frase
A technician photographs a nameplate and the equipment record is created or matched, instead of being typed from memory later.
El problema
Equipment registers drift from reality because creating a record is manual data entry that competes with the technician’s actual job. Missing and wrong records then undermine every reliability and maintenance capability built on top of them.
Cómo funciona
An OCR model tuned for industrial nameplates — including embossed, corroded and partially obscured plates — extracts manufacturer, model, serial and rating, then matches against the existing register and either links or proposes a new record. The technician confirms on the device in a few seconds.
Datos necesarios
- Mobile devices with adequate cameras in the field
- Existing equipment register for matching
- A sample of nameplate photographs across manufacturers for tuning
- CMMS integration for record creation and update
Qué obtiene
- Structured equipment record from a photograph with confidence per field
- Match or create decision against the existing register
- Register completeness and drift report by area
Qué no puede hacer
Corroded, painted-over and heat-damaged plates are common on older equipment and are exactly the plates that are hardest to read; on a typical brownfield site a meaningful minority cannot be read reliably at all. Those are routed to manual entry with the photograph attached rather than being filled in with a low-confidence guess.
Cada página de capacidad declara una limitación real. Si un proveedor no puede decirle dónde termina su producto, no le están diciendo la verdad sobre dónde empieza.
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