Computer Vision
AI that enables computers to interpret and understand visual information from images and videos. Powers image recognition, object detection, and visual inspection.
In-Depth Explanation
Computer vision gives machines the ability to see and understand visual content. Deep learning has dramatically advanced the field, enabling applications once thought impossible.
Core computer vision tasks:
- Image classification: What's in this image?
- Object detection: Where are objects located?
- Image segmentation: Pixel-level object boundaries
- Face recognition: Identifying individuals
- OCR: Extracting text from images
- Video analysis: Understanding motion and events
Key technologies:
- CNNs: Convolutional neural networks
- Vision transformers: Attention-based image models
- YOLO, Faster R-CNN: Object detection architectures
- Multimodal models: Combining vision and language
Applications:
- Quality inspection in manufacturing
- Medical image analysis
- Autonomous vehicles
- Security and surveillance
- Document processing
Business Context
Computer vision automates visual inspection, document processing, inventory tracking, and quality control - tasks that previously required human eyes.
How Clever Ops Uses This
We implement computer vision solutions for Australian businesses including document OCR, quality inspection, and visual data extraction from images.
Example Use Case
"Automatically detecting product defects on a manufacturing line with 99% accuracy, reducing quality control costs by 60%."