Camera detection, tailored to you

Often, no new cameras needed.
Just the right information, on time.

You can often work with the cameras you already have. Combine camera feeds, detect specific situations or include sound patterns. Get better information when you can act on it. We explore what fits your situation.

Your situation is the starting point. Not an off-the-shelf package.

Detection example
1. Enter zone 12. Zone 2 · 5 seconds
Camera detection with two zones and an incident alert A stick figure walks from zone 1 to zone 2. A detection box follows the same person, numbered 01. The combined rule requires entering zone 1 first, then staying in zone 2 for five seconds. Only that combination triggers a simulated incident alert. ZONE 10.0 s FIRST STEP ZONE 20.0 / 5 s Person #01
Detection active. Waiting for an event.

Rule: zone 1 first, then 5 seconds in zone 2.

Animated illustration · not live camera footage or real alerts.

Relevant eventsNo mandatory AI cloudTailored from a reusable foundation

From camera footage to insight

More insight from images and sound.

Often, you do not need more cameras. Combine feeds from multiple cameras, recognise specific situations or include sound patterns to get information you can act on in time.

01 / Combine

Multiple cameras, one situation

Combine feeds from different cameras to follow an event from multiple angles or across successive zones, then turn it into one useful alert.

02 / Recognise

Specific recognition, tailored to you

Focus detection on what matters to you: for example, a particular object, an action or presence in a zone. We tailor the recognition to your needs.

03 / Listen

Sound can be a signal too

A recurring sound, beep or alarm may provide an extra clue. Explore whether a sound pattern, possibly combined with camera footage, could help your process.

The animation shows one example of detection using two zones and a duration. We explore and test other applications, such as combining camera feeds or recognising sound patterns, with representative data. What is possible depends on your equipment and situation.

Local AI, considered choices

Your footage.
No mandatory cloud.

Image analysis can run on hardware at your location. It does not have to depend on an external AI service and its usage charges.

  • Camera footage can stay on site for processing.
  • Hardware and costs matched to your application.
  • Deliberate choices about storage, access and alerts.

Local processing does not automatically ensure GDPR compliance. We also discuss purpose, retention periods and access for your application.

A foundation, not a blank page

An existing concept to build on. Your situation shapes the solution.

We build on a reusable technical foundation for camera processing, detection conditions and alerts. Rather than reinventing everything, we adapt and test it in your context.

This lets us investigate what works before you decide on a full implementation.

Let's discuss your application ↗

Understand the problem

What do you need to recognise? What goes wrong today? What should an alert achieve? We also consider cameras, environment and budget.

Test feasibility

We agree on a focused test using representative footage. This lets us assess recognition, missed events and unwanted alerts.

Adapt and implement

If the results are suitable, we develop the solution: hardware, detection rules, alerts and any integrations. Scope, costs and maintenance are agreed in advance.

Direct access to the specialist

A technical challenge.
A practical conversation.

You do not need a finished AI specification. Describe what you want to detect and why it matters. Together we translate that into a feasible approach.

Including an honest answer if camera detection is not the right solution.

E Nierop

Specialist in software, local image analysis and automation. You speak directly with the person who explores the technical requirements and develops your solution.

I work with a company in Thailand, combining personal contact with international collaboration when the project calls for it.

Get in touch ↗

Good to know

Before you start.

Can I use my existing cameras?

We investigate that first. It depends on access to footage, image quality, camera angle, lighting and the event you want to recognise. You do not need to buy new cameras beforehand.

What does the current demo scenario show?

The demo scenario uses two camera feeds, a person in a configured zone and an incident alert when the configured duration is exceeded. Other applications require discussion and a practical test.

Does footage have to go to the cloud?

No, analysis can run locally on your hardware. Storage and alert delivery are separate decisions. We explicitly identify which data goes where.

What does a tailored solution cost?

That depends on camera count, detection complexity, hardware and integrations. We start with your needs and agree on the scope and cost of any feasibility test in advance.

Does this replace a security guard or guarantee detection?

No. Camera detection is an aid, not a guarantee that every event will be recognised. Lighting, visibility and other conditions affect results. We test with representative footage and agree who follows up on alerts.

What should your
camera recognise?

Tell us which situation you need to detect. We'll discuss whether and how camera detection can help.

Discuss your idea