Octaipipe Limited

Data privacy and security is a key concern for the adoption of Artificial Intelligence/Machine Learning with IoT (Internet of Things), particularly where that data is personal or security sensitive. The number of IoT-enabled devices and machines is growing exponentially, estimated to reach 26Bn globally by 2030\. Creating platforms optimised to maximise p...

In the past 5 years, there has been a dramatic growth and adoption of Internet of Things (IoT) devices. These are found all around us, from smartphones, watches, TVs, smart meters, to industrial machinery, energy infrastructure, and autonomous vehicles. Each device generates data continuously and the volumes of data generated are vast and continue to grow...

Project **ASCEND** is a collaboration between Domin, University of Bath (UOB) and The Data Analysis Bureau (T-DAB) to revolutionise the flow control technology / hydraulics industry, which suffers for operational inefficiencies owing to use of outdated technology and as well as being a major contributor (3-4%) to global CO2 emissions. The consortium bring...

Beverage metal can-making equipment OEMs are under pressure to deliver equipment solutions that maximise productivity (cans-per-minute) whilst keeping CAPEX low. Tear-offs, the formation of fractures in the metal during can production, lead to \\\>3.5hrs downtime a day/bodymaker (9 bodymakers/production line), resulting in 100,000 cans/day/bodymaker lost ...

Carnaud Metalbox Engineering Ltd, Computer Controlled Solutions Ltd. and The Data Analysis Bureau are developing a Networked Intelligent Bodymaker (NIBm), incorporating advanced sensor, communication and data analytics hardware and software, to confer the benefits of Industry 4.0 on the traditional can-making industry. The proposed innovations will provid...