InferenzService
Computer Vision
Cameras and scanners produce more data than people can review. Computer vision turns images and video into structured information: what's in the picture, where it is, and whether something is wrong. We build vision systems that run where you need them, from batch processing in the cloud to real-time inference on devices.
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What we deliver
- Object detection, classification and segmentation models
- OCR and document parsing for forms, invoices and IDs
- Visual inspection and anomaly detection
- Labelling workflows and dataset quality checks
- Model optimisation for edge devices: quantisation, pruning, ONNX export
- Monitoring for drift when lighting, cameras or products change
Where it's used
Quality inspection on production lines
Document and invoice processing
Retail and inventory analytics
Safety and compliance monitoring
How we work
- Discover. We look at your data, define success metrics and agree what "good" means before building anything.
- Build. We start with a baseline, iterate with measured evaluation, and keep you in the loop with working demos.
- Ship & monitor. We deploy with tests and rollback plans, then monitor quality, cost and drift.
Tools we use
PyTorchOpenCVONNXTensorRTYOLOSegment AnythingTriton
Questions
How many images do we need?
Fewer than most people expect when we start from a pre-trained model. The number depends on how varied your conditions are, and we measure it during discovery rather than guessing.
Can it run without internet?
Yes. We can optimise models to run on edge devices and local servers, so inference doesn't depend on a connection.