Automating the IoT with BPMN
summary
Builds a Halloween candy dispenser that ties doorbell photos to a BPMN model, using an ESP32 camera and a stepper-driven dispenser, with image scoring from Google image AI and business rules in DMN decision tables deployed on Camunda (cloud or self-hosted). Versions progress from multi-form human workflows to a fully automated pipeline; a live demo dispenses 1 then 28 pieces depending on the decision table, and no embedded firmware changes are required to alter business behavior.
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chapters (12)
- 0:00Automating IoT with BPMN
- 1:47IoT hardware pitfalls
- 3:12IoT to business automation
- 6:01Refining process models
- 9:14AI for automated decisions
- 11:25Cloud-based automation
- 13:16Executable BPMN in action
- 16:31Candy dispensing logic
- 18:41Decoupling hardware and logic
- 20:09Halloween candy dispenser
- 24:51BPMN benefits for IoT
- 25:13Q&A
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