The success of a fully realised Industry4.0 lies in the democratisation of intelligence and the capacity for Industrial "Things" to autonomously act based on the knowledge they have.
Effectively, turning each and every factory into a computer that is made up of modular processes within, in the form of Cyber-Physical systems.
And central to that success, is the ease with which Industrial things like pumps and sensors can be embedded with Machine Learning functionality.
To learn more about Embedded ML, I had a chat with Zin Thein Kyaw who is a Sr Success Engineer at Edge Impulse, a company on a mission to enable the ultimate development experience for machine learning on embedded devices for sensors, audio, and computer vision, at scale.
You can check out our conversation at the link below
Outline:
✔️ Integrating ML into industrial machines and sensors
✔️ Benefits of ML at the Edge of IIoT Network
✔️ Current applications of Embedded ML in industrial assets
✔️ Choosing an Embedded Processor for ML
✔️ Workflow for developing and deploying Embedded ML models
✔️ Integration of Edge Impulse with Tensorflow and Resource Optimisation
✔️ Industrial Data Collection and Data Availability
✔️ Application of Deep Learning in Industrial Systems
✔️ The Future of Embedded ML
✔️ The Edge Impulse Ecosystem & Developer Resources
Ep 43 Infrastructure as Code for Industrial IoT - [ Peter Sorowka, CEO Cybus GmbH]
Ep 42 Data Driven Optimization in Process Industries - [ Jim Gavigan, President, Industrial Insight]
Ep 41 Applied AI in Manufacturing - [ Roey Mechrez, Head of AI, and EMEA MD @Tulip]
Ep 40 Digital Twins for Process Optimisation and Asset Reliability - [ Erik Udstuen, CEO TwinThread]
Ep 39 DataOps for Digital Transformation In Manufacturing - [ Aron Semle, CTO Highbyte]
Ep 38 LoRaWAN for Industrial IoT Applications - [ Wienke Giezeman, The Things Industries]
Ep 37 Data Modelling and Manufacturing Ontologies for Digital Twins - [ Erich Barnstedt - Microsoft ]
Ep 36 Agility, Open Platform Strategy & Industrial Data Spaces for Industry4.0 - [ Sandeep Sreekumar - IndustryApps ]
Ep 35 Human-Machine Collaboration for Smart Manufacturing - [ Rafael Amaral - Tillit ]
Ep 34 Node-Red for IIoT in the Enterprise - [ Nick O’Leary, CTO Flowforge Inc ]
Ep 33 Unified Namespace for Industrial IoT: The Masterclass - [ Walker D Reynolds, 4.0 Solutions ]
Ep 32 Low Foot Print OPC UA Over TSN for Real-Time Communication - [ Melvin Francis, Be Services ]
Ep 31 Architecting IIoT Solutions Using Unified Namespace - [ David Schultz, G5 Consulting ]
Ep 30 Fundamentals of OPC UA Information Modelling - [ Jouni Aro - CTO, Prosys OPC ]
Ep 29 Manufacturing Execution Systems for Data-Driven Manufacturing - Kevin Jones, CEO Ectobox
Ep 28 Predictive Analytics in Manufacturing - Maciek Wasiak, CEO Xpanse AI
Ep 27 First Principles : First Principles of Smart Manufacturing - Conrad Levia, CESMII
Ep 26 : Embedded Vision and Connectivity for IIoT - Taylor Cooper (CEO, Principal Engineer - MistyWest) )
Ep 25 : Containerisation for Industrial IoT - Neil Cresswell (CEO, Co-Founder - Portainer) )
Ep 24 : Real World Applications of OPC UA PubSub - Praveen Kumar Singh (Chief OPC Solution Architect - Utthunga) )
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