Run your own IoT device in a snap
summary
Shows how to build an IoT prototype with a Raspberry Pi and a Rainbow HAT, streaming calibrated temperature/pressure (sensor read ~39°C vs CPU 48°C) every second and batching inserts to BigQuery (push every ~5s). Device accepts remote commands via Pub/Sub and publishes photos from a USB webcam (auto‑focus skip) to Cloud Storage, then triggers Cloud Functions to run face detection; working live demo uploads images, creates datasets/tables automatically, and uses ~300 lines of Python.
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chapters (37)
- 0:00Introduction
- 3:10Raspberry Pi
- 5:30Google Cloud
- 6:47Live Demo
- 8:55Start from scratch
- 12:03No head
- 12:25USB serial cable
- 14:23Serial console
- 15:55Customize device
- 17:55Update device
- 18:32Configure WiFi
- 19:02Troubleshooting
- 19:48Development
- 20:56SFTP
- 21:41Rainbow Hat
- 23:10Leads
- 23:53Buzzer
- 24:23Buttons
- 25:20Pressure Temperature
- 27:35CPU Temperature
- 29:24Data Warehouse
- 32:24Installing Google Cloud SDK
- 33:21Installing BigQuery
- 33:50Creating Dataset and Table
- 36:11Push Data to Cloud
- 38:28Sample Data Warehouse
- 40:07Stream data from home
- 40:40PubSub
- 41:46PubSub API
- 43:37Receiving commands
- 47:00Cloud storage
- 47:53Cloud storage demo
- 50:51USB webcam demo
- 54:25Sending commands
- 56:02Updating code
- 56:32lambda functions
- 57:17machine learning
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