The purpose of this research is to obtain a database of Peruvian warning traffic signs and propose a tool to automate the road inventory process using image processing algorithms. The database consists of 2026 images of Peruvian warning traffic signs, to detect and recognize them on Av. Eduardo Habich located in Metropolitan Lima, also proposed the following methodology tha t is divided into two parts: The first part consists of collecting da ta in the field for the creation of the database; and the second part consists of the processing of information in the cabinet, where the detection and recognition algorithm for information processing is proposed. The detection stage consists of the use of color and sha p e filters, as well as the performance of two-color models, HSV a nd normalized RGB, for the characteristic yellow color of warning signs. The recognition stage consists of the use of supervised classification tools with the algorithm called support vector machines. Finally, with the development of this research, it was possible to obtain an algorithm that allows the detection of tra ffic signs with a recognition percentage of 62.5% and a solid database that can be fed back and give rise to future research in the automation of traffic signals. road inventories.