Computer Vision That Sees What Your Team Can't
We build production Computer Vision systems that inspect, identify, and analyse visual data at machine speed — delivering quality control, process automation, and business intelligence that humans simply can't achieve at scale.
Computer Vision across key sectors
Quality Control & Defect Detection
Inspect products at line speed — detect surface defects, dimensional errors, contamination, and packaging faults with 99%+ accuracy. Replace slow, inconsistent manual inspection.
Shopper Analytics & Loss Prevention
Analyse customer movement patterns, measure dwell time, detect queue lengths, and identify suspicious behaviour — without storing personal data.
Medical Image Analysis
Assist radiologists with anomaly detection in X-rays, CT scans, and pathology slides. AI as a second-opinion tool — not a replacement for clinical judgment.
Package & Barcode Reading
Automated parcel scanning, damage detection, label verification, and ANPR for vehicle identification — integrated with WMS and TMS systems.
Access Control & Surveillance
Face recognition for office access, crowd density monitoring, perimeter breach detection, and PPE compliance checking on construction sites.
Crop & Field Analysis
Drone-based crop health monitoring, disease identification, yield estimation, and irrigation planning using multispectral and RGB imagery.
Models and infrastructure we deploy
- YOLOv8 / YOLOv9
- EfficientDet
- Faster R-CNN
- DETR (Transformer)
- EfficientNet
- ResNet / ViT
- ConvNeXt
- Custom fine-tuned
- ONNX Runtime
- TensorRT (GPU)
- Edge — NVIDIA Jetson
- Cloud — Azure AI Vision
- Roboflow
- Label Studio
- MLflow tracking
- DVC (data versioning)
Ready to deploy Computer Vision?
Share your use case. We'll assess feasibility, recommend a model architecture, and build a proof-of-concept.