Ep 26 : Embedded Vision and Connectivity for IIoT - Taylor Cooper (CEO, Principal Engineer - MistyWest) )

More than anything else, the foundational power of personnel in fieldwork merely lies in the fact that we can see.
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By extension, it makes sense that the biggest impact on industrial digital transformation will come from embedding vision in intelligent connected components.
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More so when embedded vision and AI software are widely deployed in mobile and battery-powered field equipment.
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To learn more about building this capability into industrial products, I invited Taylor Cooper for a chat on the podcast.
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Taylor is the CEO and Principal Engineer at MistyWest where he's recently led the company in developing an Embedded Vision System on Module (MistySOM), based on the Renesas RZ/V2L processor, that enables the embedding of vision-based AI capabilities in field equipment.
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Below is the outline of our conversation.
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✅ Misty West, Embedded Vision & IIoT
✅ Latest Trends in Industrial IoT, and Chip Shortage
✅ Google IoT Core Retirement, IoT Boom and Bust
✅ MQTT in IIoT and Computer Vision
✅ Delivering AI Capabilities for IIoT with Renesas RZ/V2L Based System on Module
✅ Potential Applications of Low Power System on Module in Connected Intelligence,
✅ Workflow for developing Embedded Vision for Connected Products
✅ AI versus Rules-Based Image Processing in Embedded vision
✅ Selecting Embedded Vision Middleware
✅ Selecting wireless connectivity for Embedded Vision Applications