From Prototype to Production: Optimizing BOMs & Scaling Custom Electronics | ESP32S.com
Bridging the Gap Between Lab Prototype and Factory Floor Every hardware engineer knows the feeling: Your prototype works perfectly on
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Feature
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Microcontroller (MCU)
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Single-Board Computer (SBC)
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AI Edge Device
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Typical Chips
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ESP32, STM32, RP2040
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Raspberry Pi CM4, Rockchip RK3588
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NVIDIA Jetson, Google Coral
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Performance
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Low (Real-time control)
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High (Multi-tasking, Video)
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Very High (Deep Learning)
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Power Draw
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Ultra-Low (uA to mA)
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High (Watts)
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Very High (Watts + Active Cooling)
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Boot Time
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Instant (< 200ms)
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Slow (2-3 seconds)
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Slow (Requires OS Boot)
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BOM Cost
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Very Low ($)
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Moderate to High ($$)
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High ($$$)
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Best For
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Sensors, Wearables, Switches
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Gateways, Smart Displays
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Computer Vision, Robotics
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Bridging the Gap Between Lab Prototype and Factory Floor Every hardware engineer knows the feeling: Your prototype works perfectly on
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