Xenith Vision
Computer vision AI for real-world applications.
Off-the-shelf vision APIs often fail under your cameras, lighting, and defect types. Xenith Vision starts from strong base models, then calibrates for your environment and document layouts before go-live.
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.
What a typical engagement delivers
- 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
Typical calibrate + deploy: 2 weeks - built into your environment, handed over as a production system.
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
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