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.
Camera detection, tailored to you
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.
Rule: zone 1 first, then 5 seconds in zone 2.
Animated illustration · not live camera footage or real alerts.
From camera footage to insight
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.
Combine feeds from different cameras to follow an event from multiple angles or across successive zones, then turn it into one useful alert.
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.
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.
Analysis at your location
Local AI, considered choices
Image analysis can run on hardware at your location. It does not have to depend on an external AI service and its usage charges.
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
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 ↗What do you need to recognise? What goes wrong today? What should an alert achieve? We also consider cameras, environment and budget.
We agree on a focused test using representative footage. This lets us assess recognition, missed events and unwanted alerts.
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
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.
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
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.
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.
No, analysis can run locally on your hardware. Storage and alert delivery are separate decisions. We explicitly identify which data goes where.
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.
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.
Tell us which situation you need to detect. We'll discuss whether and how camera detection can help.