Revolutionizing Industrial Asset Management with Visual AI Inspection
About the project
We specialize in delivering transformative software solutions in industrial asset management. In this success story, we unveil how our Visual AI Inspection solution, VBAII (Visual Blade Asset Integrity Inspection) has redefined the landscape of industrial asset management. By leveraging technology such as AI & Machine Learning, .NET Core, React, Angular, AWS, Azure, Python, TensorFlow, Kubernetes, and Elasticsearch, we are leading innovation in the industry.
Location
Nordics
Team Size
10
Industry
Green Tech, Renewable Energy, Wind Energy
The Challenge
How can we utilize Machine Learning/Visual Inspection to take industrial asset inspection to a whole new level?
Traditional methods of industrial asset inspection often fall short in terms of efficiency, accuracy, and cost-effectiveness. Manual inspections are time & labor-intensive, prone to errors, and can lead to missed defects or inaccuracies in assessments. The sheer volume of assets, combined with the need for timely maintenance, further complicates the process and increases operational costs.
In this specific case, our customer needed to automate & upgrade the inspection & maintenance process for wind turbine blades. Their length (up to 100m), position high up in the air and often remote locations, where part of the challenges when it comes to manual inspection.
This is what we did
Recognizing the need for a smarter approach to asset inspection, we developed VBAII, a cutting-edge Visual AI Inspection platform. By leveraging the power of AI technologies such as TensorFlow and Python, we have automated the inspection process, significantly reducing time and costs while improving accuracy and reliability.
We built a platform that collected drone images of each individual blade. Each blade was photographed from the air and then using photo recognition, we merged those images to get digital integral overview of the blade's integrity. We introduced different Machine Learning models using TensorFlow, and Python, to segment the photo data, introduced another anomaly detection model and at the top, created a model for classification of detected anomalies, by assigning score & severity assessment.
The entire process is fully visualized and displayed to the system user through UI. With our expertise in .NET Core, React, and Angular, we designed an intuitive user interface that simplifies the process of uploading drone collected images for inspection. Integration with AWS and Azure ensures scalability, security, and seamless deployment, while Kubernetes facilitates efficient management of the application.
Business Results that we achieved
Through our collaboration, our client achieved significant improvements in energy efficiency and cost savings. We were able to minimize their warranty costs, decrease downtime & optimize the inspection process overall.
The implementation of VBAII has yielded remarkable results for our clients. Our clients have realized tangible benefits, including improved asset reliability, enhanced safety compliance, and increased operational efficiency, giving them a competitive edge in their industries.
Real-Time Monitoring
VBAII provides real-time monitoring of industrial assets, allowing for proactive maintenance and minimizing the risk of unexpected failures.
Predictive Analytics
By analyzing historical inspection data, VBAII can predict potential issues before they occur, enabling clients to take preemptive measures and optimize asset performance.
By implementing our solution, our client achieved
Time Savings by 80%
Clients have experienced a reduction in inspection time by 80%, enabling more frequent and comprehensive assessments of their assets.
Cost Reduction by 70%
By eliminating manual labor and preventing asset failures through early defect detection, Hermes VBAI has led to a decrease in inspection costs by 70%.
Accuracy Enhancement by 97%
The AI-powered inspection process has increased accuracy in defect detection by 97%, minimising the risk of errors and downtime.
Togetherness in pursuit of excellence.
Our transparent approach to energy production and losses analysis empowered our client to make informed decisions, optimize their operations, and drive sustainable growth.
At Codetiq, we are committed to driving innovation and delivering solutions that empower our clients to thrive in their industries. Hermes VBAI exemplifies our dedication to leveraging technology to solve complex challenges in industrial asset management.
Contact us today to discover how our AI and ML services can help your asset inspection processes and propel your business to a new level.
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