Cyber–Physical System for Traffic Sign Detection and Recognition

Abstract

The objective of this paper is to introduce a module that works with smart glasses that to detect and recognize traffic signs on the road. The developed module encompasses the detection and classification of traffic signs, thereby enhancing safety and convenience for users during their travels. Employing innovative recognition algorithms, the software distinguishes between various types of signs, including speed limits, hazard warnings, and directional indicators. Furthermore, the system prioritizes user convenience by providing an intuitive and easily com-prehensible interface. This facilitates quick and precise access to information about traffic signs for both drivers and pedestrians, irrespective of their technological experience. Our endeavor not only illustrates the functionality of the system but also underscores its significance in augmenting road user safety. This innovative approach reflects our commitment to advancing technologies that not only offer intelligent solutions but also simplify everyday tasks for individuals. The paper establishes the sustainability and efficacy of this prototype, thereby laying the groundwork for future development and potential large-scale implementation of the system. This presents an exciting opportunity to enhance the mobility and safety for road users through innovative technologies and intelligent solutions.

Keywords

• intelligent system
• traffic sign recognition
• artificial intelligence
• smart glasses