AI, ML & CNNs Revolutionising Image Processing

Image processing has always been an integral part of computer science, largely because humans consider vision to be such a powerful sense.

When it comes to computers, images are not seen in the same way we perceive them but they’re represented as matrices or arrays of numerical transformations. Over the years, hardware companies have worked hard to build technology that processes these matrices efficiently. However, advances in machine learning and artificial intelligence are transforming image processing, allowing for detailed analysis even with less intensive hardware.

Machine learning and AI models excel by extracting valuable insights from images with far greater efficiency than traditional algorithms.

This is where Convolutional Neural Networks (CNNs) come into play. A type of neural network specifically designed for image recognition and classification, CNNs are capable of “seeing” patterns and features within images by learning from vast datasets. They essentially mimic the way the human brain processes visual information, enabling everything from facial recognition to autonomous driving.

CNNs, ML and AI are reshaping how we approach image processing, making it more powerful, accessible, and scalable than ever before.