Integration of Object Recognition, Color Classification, and QR Decoding for the Purposes of an Intelligent Mobile Robot
Radoslav Vasilev, Nayden Chivarov, Valentina Ivanova · WSEAS Transactions on Signal Processing archive · 2025
The present work is part of the development process of a distributed platform for an intelligent mobile robot, with the proposed vision module intended for future integration into the overall architecture. Thanks to its built-in simulation testing capabilities, the functionality of the module can be validated even in the absence of a fully constructed physical robot. The vision module is part of the platform's intelligent core, which conceptually and functionally unifies algorithms, modules, and interfaces that collectively enable environmental perception, information processing, and decision-making by the robot. The vision module integrates algorithms for object recognition, color classification, and QR code decoding, executing them in a logical sequence to ensure efficient processing of visual information. Furthermore, it serves as an entry point to a broader logical model within the intelligent core. The paper presents the role of the vision module in the platform, its connection with other modules, and the conceptual guidelines for future development.