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Color image encryption using chaotic-based cryptosystem

This paper presents research on a proposed project involving image encryption using a chaotic-based cryptosystem.  The purpose is to create an image encryption environment with additional features derived from chaos theory.  This cryptosystem applies the element of uncertainty and sensitivity to initial conditions.  The encryption uses a symmetric key; generating a key is based on a chaotic map — a nonlinear mathematical function that exhibits uncertainty and randomness based on initial values.

System for recognizing clothing items and their colors in an image

The paper introduces a system for recognizing clothing items and their colors, developed using the Java programming language in the form of a web application, employing the Model-View-Controller (MVC) architecture. For development and project assembly convenience, the Gradle automatic build system was utilized. The system operates based on artificial neural network principles on the Clarifai platform, thoroughly examining the process of object detection in images and the system's real-world performance.