Case studies

Intelligent connected products, engineered across the full stack

Evidence from real products: the electronics, firmware, connectivity, edge processing, cloud platforms and apps that intelligence depends on, and the first products that interpret and adapt to what they measure. Each case shows what was built, what Indeema owned and what became possible.

products engineered from device firmware through cloud to the app
8
interpret or process data on the device or gateway
9
stay updatable in the field over the air
7

Engineering range

From the circuit board to the cloud, in shipped and prototype products

The layers an intelligent connected product depends on, and how many of these case studies show Indeema engineering each one.

  1. 01
    Electronics & hardwareSensors, boards, power and device design

    8case studies

    Drone flight stack, Video intercom, Hover Hero

    Hardware & Electronics
  2. 02
    Embedded firmwareDevice logic, drivers, RTOS and control

    15case studies

    Drone flight stack, Drone data link, Alice tank gauge

    Embedded & Firmware
  3. 03
    ConnectivityBluetooth, Wi-Fi, LTE, gateways and protocols

    16case studies

    Drone data link, ShotKam app, E-bike telemetry unit

    Cloud & Connected Systems
  4. 04
    Edge processingSignals interpreted on the device or gateway

    9case studies

    Video intercom, Maggy, Hover Hero

    AI for IoT & Edge AI
  5. 05
    Cloud & platformsDevice data, services and infrastructure

    14case studies

    Dol-Sensors software, Solar Manager, Enersponse DRMS

    Cloud & Connected Systems
  6. 06
    ApplicationsMobile apps, web portals and dashboards

    21case studies

    Beastcam, Alice tank gauge, Dol-Sensors software

    Applications & Experience
  7. 07
    Field updates & operationsOTA updates, CI/CD, monitoring and maintenance

    12case studies

    Lemod, E-bike telemetry unit, Enersponse DRMS

    DevOps for connected products
  8. 08
    Autonomous behaviourA device acting without a person in the loop

    1case study · prototype

    Hover Hero

    Autonomous Physical Systems

Towards Cognitive IoT

Where each product sits on the path from connected to autonomous

Most products here make equipment visible and controllable. Some already interpret their own signals or adapt their behaviour; one prototype acts on its own. Several use machine learning: forecasting solar production, classifying machinery faults and highlighting potential cardiac risks; a shark-detection model was trained for a drone proof of concept.

  1. 01Connected

    Exchanges data and control with an app or cloud

  2. 03Interprets

    Turns raw signals into meaning on the device

  3. 04Adapts

    Adjusts its own behaviour from what it measures

  4. 05Acts

    Acts without a person in the loop (prototype)

How Indeema thinks about Cognitive IoT

All case studies

Find a case like your product

Choose the engineering problem closest to yours. Every card shows the system that was built and the layers Indeema engineered.

Across industries

The same engineering model, in different operating environments

Homes, lifts, oil fields, farms, aircraft and clinics change the constraints. The engineering discipline stays the same.

Looking for IoT use cases from across the market rather than Indeema's own work? Read the guide to IoT app ideas and real-world examples.

Building a product like one of these?

Bring the product context, the system that already exists and the engineering decision your team needs to make next. An IoT architect will talk it through with you.

Talk to an IoT Architect