Optics & illumination
Modular illumination, calibration workflows, and repeatable alignment strategies.
Technology
One pipeline: optics → sensors → compute → models → deployment.
We treat imaging as an end-to-end system. Hardware and AI are co-designed for throughput, repeatability, and field conditions.
Acquisition & control
Triggering, synchronization, and telemetry for reproducible, high-speed capture.
AI models
Segmentation/detection pipelines with cross-condition robustness and monitoring.
Reference architecture
Typical building blocks (tailored per system):
Sensing
→
Pre‑processing
→
AI Inference
→
QC + Metrics
→
Report / API
We support edge deployment (Jetson/x86) and optional cloud dashboards.
Deployment principles
- Deterministic builds and versioning
- Dataset lineage and model monitoring
- Fail-safe operation and sensible fallbacks
- Security-by-default and least-privilege access
Integration
- REST APIs for ingest and reporting
- Export: images, masks, metrics, PDFs
- On-prem deployment options
- Custom UI for review & annotation