Manufacturing & Engineering

Machine Vision - Defect detection:

Defect detection and quality control are a foundation for improved processes and consistent profitability in manufacturing businesses. We have experience designing and delivering customisable, quick to train computer vision models, that can work at a speed and volume far in excess of anything possible with an operative’s eyeball checks.

Data Science & Machine Learning - Work scheduling and control:

Resource is usually a top-three cost for manufacturing businesses and work scheduling software is common and widely used in an effort to optimise reduce costs and increase margin. But the full value of the system is often lost, as data remains unexamined. We can design machine learning and other analytics algorithms to process and digest the data created by such systems, and dashboards and visualisations to identify savings and optimise resource.

Integration & Robotic Process Automation - IoT and equipment monitoring:

We have experience working with internet of things (IoT) technology that is directly applicable to the manufacturing and engineering industries. Whether in factory line equipment or installed mechanical and electrical devices, we can get the full value with the output from IoT remote monitoring systems. Where proprietary systems are often limited in this respect, we can use machine learning and other algorithms to get the operational insights you need, whether to predict failures, improve service life or optimise energy usage.

Case study: defect detection