Xenith Vision
Vision models calibrated to your cameras, lighting, and defect types.
Xenith Vision is a computer vision deployment for line-side inspection, document layouts, and site monitoring where generic vision APIs fail under your cameras, lighting, and defect types. We start from strong base models, collect and label a calibration set from your environment, fine-tune and threshold against it, and ship with a review queue so operators confirm low-confidence detections before any downstream action. The manufacturing QC case study describes the pattern.
Custom-tuned YOLO / AWS Rekognition / Google Vision. We pick the best fit for your environment.
Deployed as a scoped engagement for your stack - not a self-serve trial or live sandbox.
How it works
- Calibrated for your environment: your cameras, your lighting, your products
- Object detection, classification, and defect identification in real time
- Document OCR and field extraction tuned for your document layouts
- Video analytics with configurable alert thresholds
- Edge deployment available, runs on your hardware without cloud dependency
Who this is for
What's included
Typical engagement deliverables
Scoped to your stack and compliance needs. We deploy the working system into your environment and hand over runbooks - not a sandbox login.
Model calibrated and tested against your actual images or video
Detection accuracy benchmarked. You approve before we go live.
Integration with your existing camera or scanner hardware
Alert and exception reporting dashboard live
Confidence threshold tuned to your acceptable false-positive rate