Row of analog pressure gauges installed on industrial piping, representing equipment monitored during routine gauge reading inspections.

Automated Gauge Reading with AI Vision and OCR

Case Overview

Industry: Petrochemicals, Plastics, and Rubber

Solution: META-aivi

Manual gauge inspections require operators to read instruments, record measurements, and transfer data into management systems. A major synthetic materials and plastics manufacturer implemented Solomon’s META-aivi AR + AI vision system to automate gauge reading and data capture, reducing inspection time by 70% while minimizing recording errors.

Industrial operator records analog gauge readings on a clipboard during a routine equipment inspection, illustrating manual data collection.
Manual Gauge Reading and Inspection Recordkeeping

The Case

Improving Routine Equipment Inspections

Industrial facilities rely on regular gauge and meter readings to monitor equipment conditions, maintain production operations, and meet regulatory requirements.

At a synthetic materials and plastics manufacturer with more than 50 years of industry experience, operators inspected analog gauges and digital meters every hour. Workers recorded measurements on paper forms before manually entering the information into the company’s IT system.

The manufacturer sought to reduce inspection time, minimize data entry errors, and improve access to equipment monitoring records.

The Challenge

Manual Gauge Reading and Data Recording Limitations

Frequent equipment inspections created a repetitive workload for operators. Fatigue increased the risk of reading and transcription errors, while manual data entry introduced additional opportunities for inaccuracies.

Paper-based documentation also complicated record management. Misplaced inspection forms could leave gaps in inspection histories and create difficulties during regulatory audits.

The manufacturer needed a system capable of capturing readings from both analog gauges and digital meters while integrating the data into its existing IT infrastructure.

The Solution

Automated Gauge Reading and Data Capture

Solomon implemented META-aivi, an AR + AI vision system that automates gauge reading and digitizes inspection records using smartphones or tablets.

Operators photograph equipment gauges during routine inspections. META-aivi extracts the measurement values and converts them into digital data, eliminating the need to manually transcribe readings.

The system integrates with the manufacturer’s existing IT system, automatically uploading the captured measurements to its database for record management and future reference.

Analog Gauge Reading and Digital Meter OCR

META-aivi supports automated reading of two common types of industrial instruments:

  • Analog gauges: Captures measurement values displayed on mechanical gauges.
  • Digital meters: Extracts numerical readings from digital displays using OCR.

Operators can capture readings at the inspection point using a smartphone or tablet, with measurement data automatically transferred to the company’s IT system.

The Results

70% faster inspections: Reduced routine gauge inspection time compared with the previous manual process.
Automated data recording: Transferred inspection readings directly to the manufacturer’s IT system, eliminating manual data entry.
Reduced recording errors: Minimized errors associated with manual reading documentation and transcription.

Application Video