Modernising the way utility and energy provide services to their customers
- Guaranteed supply at all times
- Optimised energy usage and processing
- Reduction in leaks and downtime
- Proactive maintenance
Helping industrial companies harness the power of AI. Our consultative approach to automating and enhancing industrial operations allows us to deploy customised AI solutions that deliver tangible improvements to production efficiency, machine uptime, maintenance scheduling and quality control applications.
Advance warnings 9 months before potential failures and £150k operational savings per turbine.
Predictive Failure Detection
Predict 90% failures before they occur saving over £100k per composite part and reducing energy and material waste.
Automated Defect Detection
Automated defect detection reduced the man power required and therefore reduced the associated costs substantially. It also allowed staff to focus on other business critical tasks.
Automated Quality Inspection
An automated product quality inspection system which has increased quality levels and saves £20m per plant annually.
£1M savings in a single quarter, and potentially achieving £6M savings within 18 months.
Computer vision based fault detection, automating the inspection process and increasing coverage by over 3 fold.
Detecting scrap in the single grain crystallisation casting process using regression modelling and advanced analytics.
Smart Robotics Object Detection
Robotic fulfilment rig that demonstrates how robotics and machine learning can be used to help support staff.
Ultra Precision Manufacturing
Switched from the regular cutting tool replacement process at every 200 products to a monitored based system that extended the life of a cutting tool by up to 3 times.
Preventive Maintenance Support
Health Indicator application provides early alerts that equipment is degrading and likely to need maintenance.
Energy Usage Optimisation
Power usage effectiveness (PUE) is an important industry metric for measuring the energy efficiency of a data centre. Optimising this can provide huge cost savings of up to 20% in this case.
Tool Life Optimisation
Condition-based tool replacement using data and machine learning to inform decisions. Leading to a reduction in cost and extending the life of the tools.
AI-based Security at the Edge
Smartia’s MAIO will enable AI at the edge, supporting privacy-preserving distributed learning. Use of AI for cyber security to detect attacks and improve the security of large scale IIoT systems.
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