Hardware, IoT and Machine Learning: The GreenAnt Case
summary
GreenAnt developed an end-to-end energy management product combining custom IoT hardware, antenna calibration and mass production in Brazil, cloud-based ingestion of high-volume sensor energy data, and machine-learning algorithms for real-time processing. The talk covers technical challenges in scaling hardware production, receiving and controlling cloud costs for sensor data, and debugging misbehaving neural networks while turning a doctoral idea into a commercial product.
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chapters (8)
- 0:00Introduction and context
- 11:43Hardware and radio challenges
- 23:59Design methodology and lessons
- 33:04Manufacturing challenges in Brazil
- 34:49Antenna and calibration issues
- 36:15Data processing and architecture
- 41:04Hardware engineering paranoia
- 42:09Q&A
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