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Softeq > Case Studies > Drone-Based Oil Rig Inspections Enhanced by Workflow Automation Solution
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Drone-Based Oil Rig Inspections Enhanced by Workflow Automation Solution

 Drone-Based Oil Rig Inspections Enhanced by Workflow Automation Solution - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Machine Learning
  • Sensors - Camera / Video Systems
Applicable Industries
  • Equipment & Machinery
  • Oil & Gas
Applicable Functions
  • Maintenance
  • Quality Assurance
Use Cases
  • Infrastructure Inspection
  • Security Claims Evaluation
Services
  • System Integration
  • Testing & Certification
The Challenge
Sky-Futures, a company specializing in drone-based industrial inspection services, was in need of a workflow management system. The system was to process images and videos captured by drones during oil rig inspections. The primary objective was to make equipment monitoring more cost-effective for oil companies. The challenge was to develop a system that could efficiently manage and process the vast amount of visual data captured by the inspection drones, and provide a platform for automated order, document, and digital asset management.
The Customer

Sky-Futures Ltd

About The Customer
Sky-Futures is a company that specializes in drone-based industrial inspection services. They provide services to oil and gas companies, helping them monitor the condition of their equipment through the use of drones. The company turned to Softeq to develop a workflow management system that would process the images and videos captured by their inspection drones. The aim was to make equipment monitoring cheaper for oil companies, by providing a system that could efficiently manage and process the vast amount of visual data captured by the drones.
The Solution
Softeq developed a secure customer portal with a back end powered by proprietary Machine Learning algorithms. The system serves as a universal platform for automated order, document, and digital asset management. Key features of the system include user administration, image and video processing, electronic document management, collaboration functionality, and inspection reports. The system uses smart algorithms to process visual data captured by inspection drones. It also features photo and video editing tools supporting color, brightness, and sharpness adjustments. Operators can save still images from a video and add text and voice notes during online video playback.
Operational Impact
  • The workflow automation system developed by Softeq is expected to maximize time savings and minimize costs related to oil and gas inspections. The system's ability to efficiently process and manage visual data captured by drones, along with its features for automated order, document, and digital asset management, are expected to bring significant operational benefits. In 2017, the system won a Silver Stevie® Award as Energy Industry Innovation of the Year in the International Business Awards program, demonstrating its potential for innovation and efficiency in the energy industry.

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