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Computer vision is a field of AI that enables machines to interpret and understand visual information from images and videos. It uses deep learning models to detect objects, recognise faces, read text, and analyse scenes.
Computer vision automates visual inspection tasks across industries — from quality control in manufacturing to medical imaging in healthcare.
Tesla's Autopilot uses computer vision to detect lane markings, traffic signs, pedestrians, and other vehicles from camera feeds in real time.
Convolutional Neural Network (CNN)
A convolutional neural network is a type of deep learning model specifically designed for processing grid-like data such as images. It uses special layers called convolutional layers that automatically learn to detect visual features like edges, textures, and shapes.
Image Recognition
Image recognition is an AI capability that enables machines to identify and categorise objects, people, scenes, or other elements within images. It uses deep learning models — typically convolutional neural networks — trained on large datasets of labelled images.
Deep Learning
Deep learning is a subset of machine learning that uses neural networks with many layers to learn complex patterns from large amounts of data. The 'deep' refers to the multiple layers that progressively extract higher-level features from raw input.
Our programme follows a structured Level 4 curriculum with project-based learning, practical workflows, and guided implementation across business and career use cases. Funded route available for UK citizens and ILR holders.