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Services / IoT and computer vision

Streaming, sensor data and vision for operations.

Pipelines, models and applications that turn device telemetry and camera images into decisions.

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01 / Problems

Problems we solve

What operations teams bring us.

  • High-frequency sensor dataField assets send telemetry at a rate that batch jobs and spreadsheets cannot follow.
  • Failures found too lateYou need to detect problems early enough to schedule maintenance instead of reacting to outages.
  • Streaming cost against latencyAlways-on streaming is expensive, so each signal needs the speed it actually requires and no more.

02 / Approach

How we deliver

How we build streaming and vision systems.

  1. Devices and camerasTelemetry and images
  2. Azure Event HubsStreaming in
  3. Databricks pipelinesGoverned like any dataset
  4. ModelsMaintenance and detection
  5. OperationsAlerts and decisions
  • Streaming on the platformTelemetry lands on Azure Event Hubs and flows into Databricks pipelines, governed like every other dataset.
  • Latency agreed up frontWe decide with you how fast each signal must be before choosing always-on streaming over scheduled runs.
  • Private by defaultPrivate endpoints, managed identities and EU regions, with no production personal data in dev or test.
  • HandoverDocumented pipelines, monitoring and a run book, so your team can operate the system.
Asset monitoringIllustration
  • Telemetry streamHealthy

    Readings from every connected asset arrive within the agreed delay.

  • Pump 3 vibrationWatch

    Rising for six days. A maintenance proposal is created for the planner.

  • Camera line 2Running

    Detection runs on every product. Doubtful images go to a person.

  • PipelinesOn time

    Data for the morning report refreshed on time.

Deliverables

What you get and how to start

Each starts with a conversation about your scope.

Typical duration: 2 to 3 days

Data & AI quick scan

In 2 to 3 days we map how data and documents flow today and rank the three AI or data use cases with the best value for effort.

What you get

  • Current state of systems, data and manual work
  • Three use cases ranked by value, effort and risk
  • Roadmap with a pilot proposal
  • Session with management to discuss the result
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Proof

Related case studies

Outcomes are quoted from our case studies. Your result depends on your data, your teams and your starting point.

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Free check

Take the check

A score from 0 to 100 and a next step, in about three minutes.

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FAQ

Questions about this service

Which parts do you build?

The streaming pipelines, the models and the applications that use them. We agree the device side with you in the first conversation.

Do we always need real-time?

No. Real-time costs more to run, so the first step is deciding which signals need it. Many use cases work with scheduled processing.

Where do we start?

With the Data & AI quick scan. It maps your data and ranks the three use cases with the best value for effort, and a sensor or vision use case can be one of them.

Next step

Which service fits your problem?

Tell us what you run today and what you want to change. We will say which service line fits, or that none does.

Talk to an engineerSend a messageor email info@nexops.nl directly

Currently accepting projects for Q4 2026