Process Moving our SMEs towards Industry 4.0 RPC Fredericton, - PowerPoint PPT Presentation

Connecting Your Process Moving our SME’s towards Industry 4.0

RPC Fredericton, Moncton & St. George, NB

How does Atlantic Canada stack up?

Demographic Bulge Peters, Paul A. (2017). New Brunswick Population Snapshot (Report No. 2017-01). Fredericton, NB: New Brunswick Institute for Research, Data and Training (NB-IRDT).

Hype vs Reality • Greenfields vs brownfield retrofits • Knowing your process • Find partners • Local ecosystem growing • Funding is available

Where do you start? • Process Mapping and Value Streams • Pain Points and Bottlenecks • “Lean”ing • Reduce paper and manual entry (especially any doubling)

Data • Data is king! – But only when properly scrubbed and selected – Don’t drown in the flood Data Insight Action

Automation • Traditional Automation – PLCs and machines • Physical Robots – “Arms” • Digital Twins • Robotic Process Automation

Example # 1 – JDI Automated Somatic Embryo Processing

Example # 1 – JDI Automated Somatic Embryo Processing • Fully automated workcell. • Workcell automates previously manual laboratory steps • Need to collect processing information from each step • Information can be in the form of step process times, temperatures, water levels, images, robot positions, machine throughput, final part count. • How do we connect to this process ?

Example # 1 – JDI Automated Somatic Embryo Processing

Example # 1 – JDI Automated Somatic Embryo Processing

Example # 2 – SomaDetect Sensor Device • Real time somatic cell milk quality sensor • Real time sensor replaces once per month lab test and can identify the health of each cow during every milking. • Each sensor collects complex light scatter patterns generated by somatic cells and fat, and uses machine learning and computer vision techniques to decipher these patterns • Currently installed in 250 locations in Canada and the US and generating data from 5,000 cows. • How do we connect to this process ?

Example # 2 – SomaDetect Sensor Device

Example # 2 – SomaDetect Sensor Device

Example # 2 – SomaDetect Sensor Device

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Des appareils connectés 19 /

Machine Learning: Key Ideas and Applications At its core, machine learning uses mathematical methods to find patterns in data. ● Can be applied to nearly all types of data. ● Despite being an old field, recent advances in computational technology has allowed ● for massive growth. Some consider ML to be a key player in “The Next Industrial Revolution”. ● 21 /

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Example: Computer Vision Using Convolutional Neural Networks 25 /

A List of Other Applications 26 /

Questions? 27 /