Image analytics is experiencing a revolution thanks to advances in artificial intelligence (AI) and machine learning. This post is dedicated to the technology behind this process and the sectors that benefit from it.

Image analysis is the process of extracting information from images using image processing techniques and machine learning algorithms. Artificial intelligence enables computers to analyze and interpret images at a level previously only possible for the human brain.

The basic step in image analysis is feature extraction. AI algorithms such as convolutional neural networks (CNNs) are capable of automatically learning and extracting features from images, allowing them to detect and recognize various objects, faces, gestures, and even emotions.

Then, the extracted features are interpreted using classification techniques such as support vector machines (SVMs) or neural networks. These techniques allow computers to “understand” an image and then take action, including identifying an object in an image, determining its position, or even predicting its future movements.

Image analysis using AI is used in many areas, including:

in medicine, systems based on artificial intelligence are used to analyze medical images, such as magnetic resonance imaging or computed tomography, helping to detect and diagnose many diseases;

in the automotive sector, AI is a key element of autonomous cars, enabling them to interpret the environment and make decisions based on image analysis.

Other uses include:

security systems where artificial intelligence is used for face recognition and behavior monitoring;

agriculture, where AI-based systems can analyze satellite or drone images to monitor crop health and detect plant diseases;

retail, where AI is used to analyze store camera images to understand customer behavior and optimize store layout.

To sum up, image analysis using artificial intelligence is a dynamically developing field that is transforming many sectors of the economy. Through a combination of image processing and machine learning techniques, AI is able to “understand” and interpret images at a level that was previously impossible.

The coming years will undoubtedly bring further innovations that will further expand the possibilities of this fascinating technology.