AI service
Computer Vision
Software that understands images, video and scanned documents.
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What is computer vision?
Computer vision is AI that interprets images and video. Unicorn Softech builds vision systems for object detection, image classification, OCR, face and document verification and visual quality inspection, running in the cloud, on mobile or on edge devices.
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What it looks like
How it works
Computer Vision in 4 steps
- 01Image / video
- 02Detect
- 03Classify / read
- 04Structured data
What we deliver
What you get with Computer Vision
Object detection
Finding and counting products, vehicles, people or defects in images and video.
OCR & document AI
Reading printed and handwritten text from scans, IDs and receipts.
Image classification
Sorting and tagging images automatically.
Visual inspection
Catching manufacturing defects on the line.
Multimodal models
Using vision-language models to describe and reason about images.
Edge deployment
Optimised models that run on phones, cameras and embedded hardware.
Common use cases
- KYC and ID verification
- Receipt and invoice scanning
- Quality control in manufacturing
- Food and nutrition recognition
- Retail shelf monitoring
Tools and technology
We choose per project. These are the tools we use most for computer vision.
- OpenCV
- PyTorch
- YOLO
- TensorFlow Lite
- Core ML
- Azure AI Vision
- Google Cloud Vision
- Object detection
- OCR & document AI
- Image classification
- Visual inspection
- Multimodal models
- Edge deployment
- KYC and ID verification
- Receipt and invoice scanning
- Quality control in manufacturing
- Food and nutrition recognition
- Retail shelf monitoring
FAQ
Computer Vision: common questions
Can computer vision run on a mobile phone?
Yes. We optimise models with Core ML and TensorFlow Lite so they run on-device, which is faster and keeps images private.
Do we need to collect our own images?
Often a pre-trained model plus a few hundred labelled examples from your setting is enough. We help with collection and labelling where needed.
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Let's talk about Computer Vision
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