Open connected healthcare with Red Hat Edge Portfolio
summary
Prototype shows an edge-first assistive-care stack that actually runs: sensor data from an Arduino/ESP and a wearable Nano (TensorFlow Lite model) arrives over MQTT into AMQ Artemis, flows into AMQ Streams (Kafka), is stored in Timescale/Grafana, and triggers Ansible rulebooks to send Telegram alerts. OpenShift single‑node is provisioned via ACM; Edge Impulse builds and exports tiny ML models. Two working POCs (fridge‑door monitor and fall detection) deliver alerts but need certificate, SSL and battery fixes; CAMO alerting is planned and the project remains a work‑in‑progress.
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chapters (7)
- 0:00Open healthcare at the edge
- 3:18Edge computing for assistive care
- 11:56Sensor use cases
- 17:14Data flow to alerts
- 20:21Current status and next steps
- 22:30Lessons learned and future plans
- 24:07Q&A
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