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IoT Integration

End-to-end IoT, from the device to the dashboard and the workflow.

An IoT system is the whole path: the device in the field, the data it sends, the backend that stores it, and the dashboard and workflow people use.

We design and build that path for any kind of system. A fleet tracker is one example. GPS and sensor data leave a Raspberry Pi, land in InfluxDB, and show up on a live dashboard with the analytics and actions the operation needs.

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Signal path

  1. Raspberry Pi
  2. Sensors
  3. InfluxDB
  4. Dashboards
  5. Fleet tracking
  6. Workflows

The whole system

We design and build any kind of IoT system. Raspberry Pi and sensors, ingestion into InfluxDB, live dashboards, fleet tracking, and the analytics and workflows the business runs on.

  1. Stage 01

    Raspberry Pi and sensors

    We put the edge together: a Raspberry Pi, the sensors the job needs, and the service that reads them and sends data upstream.

  2. Stage 02

    Ingestion into InfluxDB

    Sensor and location data move from the device into a time-series backend. InfluxDB stores the stream so history, alerts, and queries stay fast.

  3. Stage 03

    Dashboards, analytics, and workflows

    Live dashboards for operators, business analytics on the same data, and workflows that turn a reading into a next step — a route, an alert, or a task.

  4. Stage 04

    Fleet tracking and custom systems

    Fleet tracking is one system we build: position, route, and sensor state in one view. The same approach covers any other IoT system you need designed and built.

You leave with

  • Device design on Raspberry Pi with the sensors the job needs
  • Ingestion from the device into InfluxDB
  • Operator dashboard and business analytics
  • Workflows, including a fleet-tracking system when that is the product

How it gets built

  1. 01

    Device

    Decide what the Raspberry Pi reads, and how often it reports.

  2. 02

    Ingest

    Land the stream in InfluxDB with retention that matches the operation.

  3. 03

    See

    Build the dashboard and the analytics the business actually uses.

  4. 04

    Act

    Add the workflows on top of the data, including tracking for a fleet.

An end-to-end IoT system, from the device through to the people who use the data

Sensor data from a Raspberry Pi visible on a live dashboard

History in InfluxDB you can query

Analytics and workflows the operation runs on

IoT researchFleet tracking, Raspberry Pi, and the hardware experiments behind this practice.

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