Detection & segmentation
Custom models that find and outline exactly the things you care about, trained on your data, with a clear look at where they fail.
COMPUTER VISION · WHERE NNCODE STARTED
Computer vision that works in the real world.
Computer vision is where NNCODE started, and it's still what we nerd out about most. We build the data, models, video pipelines, and deployment for the place it actually has to run, and the dashboards, APIs, and integrations around it too. One team, the whole system.
WHAT IT LOOKS LIKE LIVE
From pixels to "hey, something happened".
Finding and tracking objects is just the start. Zones, events, and alerts turn every frame into something a person or another system can actually act on.
Fig 1Inspection line
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line stopped
Tracking & video analytics
Follow objects across frames, trigger events when something happens, and show it all on a live dashboard.
Datasets that don't lie to you
What to collect, how to label it, and automatic checks so bad data doesn't sneak in and quietly ruin your model.
Fast on GPUs and small devices
DeepStream, TensorRT, and OpenCV, tuned so it runs in real time, even on a small edge box.
LESSONS LEARNED THE HARD WAY
Accuracy isn't everything.
A real vision system has to deal with cameras dropping out, the light changing, motion blur, new environments, data drifting over time, tight latency, and the real cost of getting it wrong.
So we start with the decision it needs to help with. Then we figure out the data, pick or train the right model, test the whole pipeline end to end, and add monitoring for the things most likely to go wrong.
What you get is a working application you can measure and trust, not a model file and a "good luck".
HOW IT'S BUILT
Capture, detect, track, reason, deliver.
Every system we build follows the same line: cameras and calibration, optimized models on GPU or edge, identities across frames, zones and rules, then alerts, dashboards, and APIs. Arm the zone rule and watch a person in zone 1 turn into an alert.
Fig 2Vision pipeline
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pipeline idle · 5 stations
THINGS WE GET ASKED TO BUILD
Where computer vision pays off.
Industrial inspectionDefect detection, quality control, traceability, and human review.
Video intelligenceDetection, tracking, zones, events, counting, and live analytics.
3D and spatial visionDepth estimation, calibration, point clouds, visual odometry, and measurement.
Dataset infrastructurePrivate annotation, quality validation, versioning, and export workflows.
Let's talk
Got something you want to build?
Tell us about it. You talk directly with the person who builds it, from the first chat to everything after.
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- No obligation
NNCODEAI engineering studio · founded by Nicolai Nielsen