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

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

Drone-Based Oil Rig Inspections Enhanced by Workflow Automation Solution

Softeq

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
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. Read More
About 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. Read More
Customer Name	Sky-Futures Ltd Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

Customer Name

Sky-Futures Ltd

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.

Impact #1	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.

Impact #1

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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Overview

Drone-Based Oil Rig Inspections Enhanced by Workflow Automation Solution

Operational Impact