Machine learning for predictive maintenance
The majority of businesses rely on corrective maintenance, in that they will arrange for parts and equipment to be replaced once they fail. However, this can cost these companies in downtime, labour, and unscheduled maintenance requirements.
Some businesses practice preventative maintenance by predicting the useful lifespan of parts and equipment, so these can be maintained or replaced before they actually fail. But, while this can help to prevent unexpected or dangerous equipment failures, the high costs of downtime, under-utilisation of certain components, and labour are still an issue.
The predictive maintenance service that we provide using machine learning aims to find the right balance between corrective and preventative maintenance by enabling parts to be replaced or fixed at just the right time. This means components are only replaced once they’re very close to failure, extending their lifespans when compared to preventative maintenance, and reducing the cost of unscheduled maintenance and labour costs when compared to corrective maintenance.
Machine learning and computer vision
Here at Luminous Group, we also offer a machine learning and computer vision service, which allows us to build exciting new solutions for a range of industrial applications.
Using this technology, computer systems can be trained to look for specific objects and details. This can be helpful when it comes to identifying defects and improving quality control of products, recognising staff for security access, and even identifying whether workers are wearing the correct PPE for a specific job. We can also help to provide businesses with specialist equipment, such as drones that can identify cracks in pipelines, or determine whether wind turbine blades need any specific maintenance.
One key area that we’re particularly interested in researching is the use of computer vision and machine learning in the enhancement of 3D mapping. Our RIVO app allows for fast 3D data capture, but we’re currently developing algorithms that are able to search out and recognise 3D shapes, so items can be mapped out semi-autonomously.
Machine learning techniques are still relatively new, but new applications are constantly being found. And, due to the nature of this technology, it’s improving all of the time. Here at Luminous Group, we’re always looking for ways in which we can implement new and innovative methods to help our clients get the most out of their work, and machine learning is an area we’re very excited to be exploring more and more.