Computer vision (computer vision is a field of artificial intelligence that aims to enable machines to interpret, analyse and understand visual data (images, videos).
How it works
To achieve this understanding, computer vision relies on a combination of advanced techniques, including :
- Image processing which enables visual data to be pre-processed and enhanced for easier analysis.
- L'machine learning The new "Pattern Recognition and Data Learning" toolkit provides tools for recognising patterns and learning from data.
- L'deep learning This technology uses neural network architectures, in particular convolutional neural networks (CNNs), to extract complex, hierarchical features from images.
These methods can be used not only to detect objects and classify scenes, but also to recognise faces, segment images or track movements in video sequences. Convolutional neural networks, for example, algorithmically mimic the way the human brain processes visual information, filtering and prioritising data to extract the essential elements.
Computer vision applications
The applications of computer vision are vast and varied, including :
- Facial recognition used in security and identification.
- Autonomous vehicles which depend on vision to navigate complex environments in real time.
- Medical imaging The new "Diagnostics" function: facilitating diagnosis by detecting anomalies in medical images.
- Augmented reality Virtualization: enriching the user experience by superimposing virtual information on our real environment.
