ai-resume/content/edge/edge-overview.md at 6900101506e0166fe6fcc8ea5f15e33b2f57425c

Files

Sam Rolfe 396eeb175e content: car tracker page with a real hardware image

- content/edge/l3/edge-car-tracker.md, written from the evidence notes
- product image of the SIM7080G Cat-M module, cropped to 640px, with a caption
  naming what it is and that it is a product image
- referenced from the edge overview
- original kept in sam/CAR_GPS_TRACKER so the project repo documents its own build

2026-10-29 11:24:26 +11:00

1.2 KiB

Raw Blame History

id, area, level, title, claim, confidence, period, tech, metrics, artefacts, public, last_verified, tags

area

level

title

claim

confidence

period

tech

metrics

artefacts

public

last_verified

tags

edge-overview

edge

Edge & Devices

Sam builds and maintains a twenty-node edge fleet — constrained devices on solar power and deep sleep, with custom radio and sensors — that reports into a single automation layer.

running

2020–

ESP32

LoRa

Zigbee

MQTT

Home Assistant

Snapcast

Raspberry Pi

label	value
edge nodes	20

label	value
lighting zones	9

label	value
automations	20

type	label	url
doc	Edge architecture — power · radio · deep sleep	content/edge/l3/edge-architecture.md

type	label	url
doc	The failures, kept in the record	content/edge/l3/edge-failures.md

type	label	url
doc	Distributed audio — eight endpoints with ducking	content/edge/l3/edge-snapcast.md

type	label	url
doc	Vehicle tracker on LTE Cat-M	content/edge/l3/edge-car-tracker.md

true

2026-10-26

edge

iot

esp32

lora

zigbee

The devices are outdoors on solar and asleep most of their lives, and they have to keep working when nobody is looking; what failed is written down. The architecture, the radio and the failures are on the fleet page.

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