A Traffic Road Sign Recognition System using Raspberry pi with Open CV Libraries Based On Embedded Technologies

The use of computer systems for the purpose of image processing, which is also known as digital image processing, has applications in a variety of sectors, some of which include geology, oceanography, medicine, and space exploration to name a few. The major objective of this piece is to provide examples of different ways in which image processing techniques may be used even in environments with limited computational resources. In particular, we developed a traffic sign recognition system that is capable of reading and interpreting speed signs. This system is based on embedded technologies, and it was constructed by us. This research covers a wide range of topics, some of which are the characteristics of speed limit signs, the requirements and challenges of constructing an embedded real-time base system, and the methods for manipulating numbers that make use of image processing techniques that are based on form and dimension analysis. The study also provides a presentation of, and a demonstration for, several classification and recognition strategies. This research brings to light a number of difficulties with the consistency of color identification as a consequence of lighting circumstances; as a result, avoiding the usage of color models may result in a more effective solution than using color models. In addition to this, color analysis plays a particularly significant role in a broad range of other applications for the identification of road signs. These applications may be found all over the world. For the most part, lightweight solutions were selected for this project since the real-time applications that could be used as well as the capabilities of the Raspberry Pi were severely limited. The Raspberry Pi is the primary focus of concentration for the implementation as a whole. The Raspberry Pi is able to connect sensors, databases, and the results of image processing, in addition to carrying out actions on devices that are external to itself.