Computer Vision
Beyond images, with artificial vision
Your company's digital eye
A Computer Vision model, based on Deep Neural Networks, is able to build its own familiarity with images and therefore analyze, recognize, interpret, and imitate their content. Applied to your company's production processes, it can detect defects in your products or identify the emergence of a dangerous situation from your monitoring videos; but also support you in creating an automated warehouse or enhance image search in your databases.
Technology
Vision Transformer
The Transformer architecture, applied to Computer Vision, increases the processing capacity of algorithms and improves their stability during the training phase.
Convolutional Neural Network
The convolutional network breaks down images into pixels, labels them one by one, and then uses the labels to derive an original output through convolutions.
Classification and Detection
Classification and detection algorithms are the basis of the most complex Computer Vision functions.
Use cases
Reduce errors with Natural Language Processing
Discover how the document management of a logistics company was optimized, thanks to NLP and Anomaly Detection algorithms, integrated on a Cloud application.
Reduce errors with Natural Language Processing
Discover how the document management of a logistics company was optimized, thanks to NLP and Anomaly Detection algorithms, integrated on a Cloud application.