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

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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”.

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Example: Computer Vision Using Convolutional Neural Networks

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A List of Other Applications

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Questions?