Road infrastructure is essential for the economic, social, and territorial development of cities. However, the deterioration of roads due to intensive use, adverse weather conditions, and insufficient maintenance results in negative consequences such as traffic accidents, vehicle damage, transport delays, and increased vehicle maintenance costs. This article proposes an Internet of Things platform for detecting pavement irregularities through vibrations, specifically up-and-down movements. Data were collected, including GPS locations, and sent to the cloud using the MQTT protocol. Experimental validation recorded 4 193 data points by covering a distance of 9.75 km at the Universidad Autónoma del Estado de Morelos, Mexico. Data were analyzed to identify anomalies in road surfaces and display the location on a map. Results demonstrate that the proposed IoT system is able to identify critical areas of deterioration on roads in an automated, cost-effective, and scalable manner.