The Synergy of LoRaWAN and Artificial Intelligence
summary
Claims a working path to put AI on LoRaWAN endpoints: MCU-class 0.1 TOPS MCUs run tiny ML models, a catalog of 400 pre-trained models converts cameras into sensors in minutes, and boards expose results over UART/RS485 output so an existing LoRaWAN DTU or The Things Stack can send labelled events. Workflow includes browser training tools that produce TF‑Lite models in ~3 minutes, an open ESP32 + AI‑chip device that runs offline, and demos reported as functioning in field tests.
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chapters (8)
- 0:00LoRaWAN and AI synergy
- 1:12Why combine AI with LoRaWAN
- 2:36Hardware challenges in LoRaWAN
- 4:30AI integration considerations
- 7:00AI model training for edge devices
- 9:57AI sensors with LoRaWAN devices
- 10:42Future of AI agents in smart spaces
- 13:44Next-gen IoT with TinyML and LLMs
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