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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.

Find a case like your product
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

Representative systems

Each joins physical hardware, embedded software, connectivity and the cloud or app that people use, and shows exactly which parts Indeema owned.

LiftEnergy+ lift monitoring device beside its web portal showing monthly energy consumption

Building equipment / Lift energy and usage monitoring

A lift energy and trip monitor, from meter interface to web portal

How it works

  1. Energy meter and control panel
  2. LiftEnergy+ device
  3. Wi-Fi or LTE uplink
  4. Cloud back end
  5. Web portal

Indeema owned

Proof of concept · Device hardware · Embedded firmware · Cloud and web portal · Maintenance

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

    8 case studies

    Drone flight stack, Video intercom, Hover Hero

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

    15 case studies

    Drone flight stack, Drone data link, Alice tank gauge

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

    16 case studies

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

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

    9 case studies

    Video intercom, Maggy, Hover Hero

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

    14 case studies

    Dol-Sensors software, Solar Manager, Enersponse DRMS

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

    21 case studies

    Beastcam, Alice tank gauge, Dol-Sensors software

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

    12 case studies

    Lemod, E-bike telemetry unit, Enersponse DRMS

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

    1 case 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 already run machine learning: forecasting solar production, classifying machinery faults, highlighting potential cardiac risks and spotting sharks from the air.

  1. 01Connected

    Exchanges data and control with an app or cloud

  2. 02Observable

    Makes its state and history visible remotely

  3. 03Interprets

    Turns raw signals into meaning on the device

  4. 04Adapts

    Adjusts its own behaviour from what it measures

  5. 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.

Your product next

Start from the outcome your product needs

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

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