We have developed an advanced end-to-end inspection platform for companies in the energy sector. The platform has a built-in interface to 3rd party AI/Computer Vision technologies and is delivered as a Software as a Service (SaaS) solution.
The platform offers all the tools required to collect, process, review, assess and analyse image data collected by drones, robots, submersibles and cameras.
I am the System Architect and I am responsible for implementing, maintaining, and operating Azenzus Vision. I spend a great deal of my time talking with clients about their needs and translating the needs into business requirements that allow the software developers to improve the end-to-end process flow, so we can make Azenzus Vision an even better solution.
My background is within electrical engineering. I have 25 years+ of experience within design and construction of plants as well as maintenance and operation. I enjoy working closely with various engineering disciplines to improve the way inspection data is managed in IT systems. I enjoy learning more about computer vision and machine learning, following our team of data scientists, data annotators and engineers working for one of the biggest turbine builders in the world.
I started my professional career as an IT developer in 2001 at SAP. For the last 10 years, I have been involved in the area of Enterprise Asset Management as a project manager and business consultant focusing on implementing new approaches, digitalization and mobility solutions for maintenance of assets. I am working with ideas on how to apply the knowledge from the enterprise world to improve the maintenance of assets for small and medium businesses and derive more insights using commonly collected and generalized data.
I am a Data Scientist with specialization in Computer Vision. I have 10+ years of experience in machine learning and software development building vision-guided systems in various application areas. I enjoy mathematical modeling and converting domain knowledge into working and depended-on systems. These days my focus is on architecting and implementing a versatile and extensible system for inspection automation and predictive maintenance of industrial assets. I have the privilege to be the team lead of highly skilled and motivated data scientists.
The built-in end-to-end (E2E) process flow controls the core aspects of the image analysis process from planning in the Inspection Planner to view the results in the Results & Reporting Module.
The customer can buy access to additional services such as the Assessment Tool and Advance Analytics Tool.