The cutting edge learning technique in AI-based vision processing is deep learning. Deep learning has been used to solve problems for image classification, image classification with localization, object detection, object segmentation, image colorization, image reconstruction, image super-resolution, image synthesis, and many many more. The most common methods of deep learning are Region-based Convolutional Neural Network (R-CNN), Fast R-CNN, Faster R-CNN, and YOLO.
Some of the works done by the owner of this website using Artificial Intelligence Computer Vision solutions are:
- Classification of markers for underwater docking of Autonomous Underwater Vehicle using Deep Learning (Convolutional Neural Network)
- Classification of human subjects based on body shape visual information and utilize it using Fuzzy Logic and Artificial Neural Network
1. Classification of markers for underwater docking of Autonomous Underwater Vehicle using Deep Learning (Convolutional Neural Network)
2. Classification of human subjects based on body shape visual information and utilize it using Fuzzy Logic and Artificial Neural Network
