Defender Tubular
Client Delivery

Defender Tubular

Computer Vision / OCR Automation

Oilfield Services / Industrial Operations

Overview

Defender Tubular Services, a Texas-based oilfield pipe maintenance company, relied on manual serial number recording after pipe cleaning—a process that was slow, error-prone, and difficult to scale across eastern US rig sites. We delivered a computer vision OCR system that reads worn and partially damaged serial numbers from pipe surfaces, validates results with AI error detection, and syncs records in real time to operational tracking workflows.

Project Highlights

  • Custom OCR models trained for field conditions
  • AI-based validation and error correction
  • Desktop application with AWS cloud deployment

APPROACH & SOLUTION

Validated feasibility with a two-week proof of concept, then shipped the full production system in eight weeks—achieving 85% recognition accuracy versus 30% with manual entry

Project Context

Oilfield Services / Industrial Operations. Client: Defender Tubular Services — pipe cleaning and maintenance, Texas, USA.

Reading degraded serial numbers on metal surfaces under variable lighting and weather conditions at active rig sites

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