AI-Powered Computer Vision System for Maintenance Verification in Oil & Gas Transportation

Challenge

Despite having well-defined maintenance schedules, the client struggled with inconsistent reporting from remote field teams. Many sites had limited internet connectivity, harsh environmental conditions, and no reliable way to verify actual work performed.

As a result, the central office frequently received incomplete or unverifiable service reports. This lack of visibility created:

• uncertainty about whether required maintenance was truly performed;
• increased operational costs due to unnecessary or inaccurate service charges;
• inefficient scheduling, causing teams to revisit sites unnecessarily;
• higher risk of pipeline failures due to undocumented maintenance gaps.

The company needed a field-ready, low-connectivity, evidence-based method to reliably confirm on-site work.

Project Scope

Our team developed an on-site computer vision system powered by edge processing to verify maintenance activities, track field teams, and ensure operational transparency.

Computer Vision Pipeline for On-Site Verification

We installed on-site cameras supported by environmental sensors to track:

• number of personnel present;
• vehicles on location;
• actual time spent performing maintenance tasks.

These inputs enabled the system to automatically detect and classify work activity with high accuracy.

Edge Computing for Low-Connectivity Environments

Because many sites had poor or unstable internet connectivity, we deployed on-site edge devices to process video and sensor data. This ensured:

• continuous data capture during connectivity outages;
• local storage of verified work logs;
• minimal bandwidth requirements for syncing with the central office.

This architecture allowed the system to remain reliable under extreme temperatures, dust, and frequent power interruptions.

Reliable Hardware Setup & Maintenance

To guarantee uninterrupted operation, we implemented a field-ready installation process that included:

• regular battery and power checks;
• scheduled lens cleaning;
• environmental exposure protection.

This ensured consistent data quality across all remote locations.

Client’s Results

The computer vision solution delivered immediate operational value, significantly improving maintenance transparency and reducing unnecessary costs. We achieved:

• 65% reduction in unverified maintenance reports — the company can now visually confirm completed work.
• 40% improvement in maintenance scheduling by optimizing trips and avoiding site visits that were no longer necessary.
• Cost savings from eliminating payments for undocumented services, ensuring accountability in the field.
• Greater operational oversight with reliable, evidence-based reporting for every remote location.