Computer Vision

Vision AI that sees what matters

Custom computer vision systems — object detection, OCR, quality inspection and video analytics — deployed on cloud or edge hardware.

Real-timeInference at speed
Cloud or edgeYour infrastructure
Any cameraRTSP, USB, IP
What We Build

Vision AI for every use case

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Object Detection

Detect, classify and count objects in images and video — products, people, vehicles and more.

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OCR & Document AI

Extract structured data from invoices, forms, ID documents and handwritten text.

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Quality Inspection

Automated defect detection on production lines — faster and more consistent than manual inspection.

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Video Analytics

People counting, zone monitoring, anomaly detection and activity recognition.

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Medical Imaging

Radiology assist, pathology screening and diagnostic support tools.

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Agriculture & Environment

Crop health monitoring, pest detection and satellite/drone image analysis.

Our Process

From camera to production CV system

1

Data Assessment

Existing image data reviewed — volume, quality, labelling needs identified.

2

Model Selection

YOLO, EfficientDet, custom architecture — selected for your accuracy/latency trade-off.

3

Training

Supervised training with your labelled data — active learning to minimise annotation effort.

4

Validation

Precision, recall and F1 benchmarked on your real-world test set.

5

Deployment

Camera integration, inference API or edge device — with monitoring and retraining pipeline.

FAQ

Common questions

How much training data do we need?

Depends on task complexity — as few as 200 labelled images for simple detection, thousands for complex scenes. We'll advise.

Can it run on-premise or on edge devices?

Yes — we deploy on Jetson Nano, Raspberry Pi, industrial PCs and on-prem servers as well as cloud.

What accuracy can we expect?

Typically 90–99%+ on well-defined tasks with adequate training data. We benchmark before you commit to production.

How do we handle new object classes over time?

We build incremental learning pipelines so the model can be updated with new classes without full retraining.

Ready to deploy computer vision?

Tell us what you need to see. We'll assess feasibility and quote within 48 hours.

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Get In Touch

Ready to get started?

Tell us about your project. We reply within 4 business hours.

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Call (Australia)1800 A2ZTECH
Response TimeWithin 4 business hours (AEST)
Send Us a Message