Label, train, evaluate and export computer-vision models on your own machine — detection, classification, segmentation and anomaly. No AI expertise, no data leaving your site.
How it works
The same simple flow, whatever you're building. No pipelines to wire up, no code to write.
Drop in images and labels. ANSTS validates every file automatically.
Pick the model type and a few simple parameters — sensible defaults do the rest.
GPU-accelerated training with live accuracy and loss charts.
Check accuracy and the confusion matrix, then export deployment-ready.
Run the model on fresh images to confirm it performs before you ship.
Flexible model types
Build the right kind of model for the job — ANSTS supports the full range, no code for any of them.
Find and locate multiple objects in an image or video frame.
Detect objects with precise angle — ideal for rotated or aligned parts.
Sort images into predefined classes for automated recognition.
Trace the exact shape and boundary of every object, pixel-precise.
Flag irregular patterns for quality control — learn "normal", catch the rest.
Built-in labelling
ANSTS ships with a full labelling tool — no separate software, no exporting back and forth. And it speeds the tedious part up for you.
Every label type
Whatever the task needs, the labelling tool has the right annotation — and it reads your existing datasets straight in.
Draw or auto-detect boxes for object detection — dozens of objects and many classes on a single image, at speed.
Trace pixel-accurate masks for segmentation models when a rectangle just isn't precise enough.
Capture the exact angle of aligned or rotated parts with oriented bounding boxes.
Point it at an existing dataset — it detects YOLO, Pascal VOC or COCO and converts, leaving your originals untouched.
Efficient training
Harness your local NVIDIA GPU while keeping every image on your machine. You watch the model improve; ANSTS handles the rest.
A closer look
Real screens from ANSTS — from a validated dataset to a model you can test and ship.
ANSTS checks every image and label file — matching files, categories, and enough samples per class — before you train.
Bootstrap a new dataset by pre-labelling every image with an existing model — then just review and correct.
Line experiments up by accuracy and training time, pick the best, and export deployment-ready — GPU/TensorRT, LabVIEW and more.
Run the trained model on fresh images or a live camera, see every detection with its score, and confirm it performs.
Why ANSTS
Engineers, educators and integrators build models with clicks — not scripts.
Every image, label and model stays on your machine. Your data, your IP.
Fast local training on NVIDIA GPUs — no cloud bill, no queue.
Accuracy, loss and confusion matrix update as the model learns.
Reuse existing YOLO, Pascal VOC and COCO datasets — nothing wasted.
Export straight to ANSVIS edge analytics, LabVIEW or Intel/NVIDIA servers.
Where teams use it
Catch defects and verify assembly right on the production line, frame by frame.
Train on your own good and bad samples — no vision engineer required.
Recognise the exact parts, products or tools your process depends on.
A no-code studio for labs and classrooms to explore modern computer vision.
Go from a folder of images to a working model in an afternoon.
Drop trained models straight into LabVIEW test rigs through native ANS APIs.
Bring a folder of images and a problem. We'll show you ANSTS turning them into a working model — on your machine, no code.