خط معالجة OCR لوثائق الحقل
Turns decades of scanned reports, logs and maps into searchable text, including Persian and Arabic documents and handwritten annotations.
A technician photographs a nameplate and the equipment record is created or matched, instead of being typed from memory later.
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.
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.
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.
كل صفحة قدرة تذكر حداً حقيقياً. إن لم يستطع المورّد إخبارك أين يتوقف منتجه، فلم يُقل لك الحق عن أين يبدأ.
Turns decades of scanned reports, logs and maps into searchable text, including Persian and Arabic documents and handwritten annotations.
Establishes one authoritative record per well that every other system agrees with, including a single answer to how deep it is and where the top of the reservoir sits.
Connects the platform’s predictions to the systems that actually create work orders and order parts, so an alert becomes a scheduled job.
Uses the cameras already installed to spot missing protective equipment, people in restricted zones and unsafe proximity to lifting operations.
Watches the flare on camera to confirm it is lit, estimate how much is being burned, and detect smoking or incomplete combustion.