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Diary and Events

Industry 4.0 Summit

Manchester Central Convention Complex(M2 3GX)

31/03/2020 - 01/04/2020

The UK’s leading conference gathering of senior level executives from the UK manufacturing industry (more)

Drives & Controls Exhibition

NEC, Birmingham(B40 1NT)

21/04/2020 - 23/04/2020

The show brings together key suppliers of state-of-the-art equipment representing the multi-tasking culture (more)

UKIVA Machine Vision Conference 2020

Marshall Arena, Milton Keynes(MK1 1ST)

14/05/2020

Vision solutions have been applied in almost any industry you can think of. Food, beverage, pharmaceutical, (more)

PPMA Show 2020

NEC, Birmingham(B40 1NT)

29/09/2020 - 01/10/2020

PPMA Show 2020 is the UK’s largest ever event dedicated to state-of-the-art processing and packaging (more)

Advanced Engineering 2020

NEC, Birmingham(B40 1NT)

04/11/2020 - 05/11/2020

The UK's largest annual advanced manufacturing trade show, Advanced Engineering is your opportunity to (more)

Smart controller for Industry 4.0

Smart controller for Industry 4.0

Brainboxes has launched a smarter way to know what’s happening on your production line. Sense, sort and send your machine data to minimise downtime, speed up response time and maximise profits.

Combining industrial hardware connections with the processing power of a Raspberry Pi Compute Module 3+ the BB-400 NeuronEdge gives you the possibilities of open source software in a simple retrofit way, unlocking the potential of your equipment.

The BB-400 combines Brainboxes proven IO and serial connectivity with a range of network connections to allow data to flow to the application of your choice. The innovative design uses a Raspberry Pi Compute module and an Arduino to provide edge processing. The Pi is supported by a power management system, making it match the robust demands of industry. This allows you to develop on Raspberry Pi and deploy seamlessly to the factory floor.

The device offers the flexibility of PC systems with open source API programming options to make integration and customisation user friendly. Combining insights from machinery of all types and ages can be done through a preferred programming language, such as C# and Python or visually in Node-RED, circumventing many of the interoperability issues that have traditionally hampered integrated automation.

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