Due to advances in network connectivity and the proliferation of Internet of Things (IoT) devices, the number of land vehicles equipped with devices capable of responding to variations in the external environment has increased significantly in recent years. If, on the one hand, a network of vehicles equipped with sensors provides telemetric information in real time, on the other hand, the number of information obtained in a short time can easily reach the order of millions, making it impossible for individual human analysis of all vehicles.

There is currently at MAXTRACK, a company that develops an Internet of Things (IoT) platform, the need to create and implement solutions to problems within the context of sensory data analysis in order to incorporate automatic methods for processing collected sensory data by trackers attached to motor vehicles. The idea revolves around identifying the preliminary events to the anomalous event, such as a collision, in such a way that they can contribute to a partial or complete restoration of the phenomenon.

In this project, our focus was the research and development of solutions within the scope of sensor analytics in order to detect and classify vehicle collisions, considering the magnitude and direction of the impact force. Such solutions will act as filters on a sensor analytics platform aiming to generate information that can be used to understand the preliminary events to atypical events, such as a collision, in order to corroborate the partial or full reconstruction of the episode.


Figure 1 Illustration of the two moments when the data will be processed in the solution. 1) Embedded processing and 2) Complex analysis on the Maxtrack Platform.

The objective of the sensory monitoring solution was to detect events that have a high probability of presenting some kind of anomaly, resulting from unusual behaviors of the vehicles, allowing their subsequent expertise and inspection of their respective drivers.

Researchers involved in this project: Rafael Henrique Vareto and William Robson Schwartz