A Theoretical Framework for Computer Vision Learning Environment.

Nowadays, the World Wide Web gives access to most of the world’s knowledge, nevertheless, people require competence to interpret and comprehend most of that knowledge. The Lifelong Learning approach introduces a new way of constantly pursuing knowledge consistently. Nevertheless, learners need to test and carry out projects to reinforce the study of theoretical concepts. Mostly in computer science, where they often need to experiment with large amounts of sensitive data to generalize beyond small training samples. However, in the past years, the European government enacted several regulations concerning privacy after catching up with sectors such as AI and Data Mining. The study illustrates a theoretical framework that includes hardware and software characteristics to avoid privacy violations and comply with European privacy regulations. The resulting framework could be applied for learning purposes as well as IoT applications regarding computer vision technologies to ensure correct and compliant communications between different devices.