From Idea to Reality: MAPSIA's Journey to Creating a Cost-Effective Pavement Distress Detection System

Publication Date: 21 March 2023

Are you tired of driving on bumpy, pothole-filled roads that seem to be constantly under maintenance? Have you ever wondered how cities and transportation departments keep their roads safe and well-maintained?

The current approach to road maintenance often involves periodic visual inspections, which can be time-consuming and prone to human error. This can lead to pavement issues going undetected, which can eventually result in safety hazards for drivers and expensive repairs for transportation departments. In addition, traditional pavement inspections can be expensive, requiring specialized equipment and trained personnel. These drawbacks make it difficult for small businesses and local governments to keep their roads well-maintained.

The solution is MAPSIA.

MAPSIA is a game-changing technology. It is computer vision system that uses deep learning to detect pavement distresses and identify areas in need of repair. Our affordable technology is designed to be accessible to everyone, from small businesses to large transportation departments. With MAPSIA's easy-to-use software, you can easily identify and track road superficial defects, ensuring that repairs are made quickly and efficiently. In addition to being cost-effective, MAPSIA is also easy-to-use. The system is designed to work with existing equipment, making it simple to integrate into current pavement inspection workflows.

Overall, MAPSIA offers an affordable and efficient solution to ensure our roads are safe and well-maintained.

In a world where technology is rapidly advancing, there are endless possibilities for using data science to solve real-world problems. MAPSIA was born from a crazy idea by Saúl Cano-Ortiz, a PhD candidate who saw an opportunity to use his skills to tackle a civil engineering challenge. But he knew he couldn't do it alone.

The team behind MAPSIA is made up of brilliant minds from diverse backgrounds, including members from the GITECO group of the University of Cantabria and the Institute of Physics of Cantabria. First, there's Saúl, physicist and data scientist. He was joined by Lara Lloret-Iglesias, a senior physician and data scientist with a wealth of expertise in computer vision. Daniel Castro-Fresno, on the other hand, is an accomplished civil engineer who shared his practical knowledge and expertise on road maintenance. Bringing a unique perspective and skill set to the project is Pablo Martinez Ruiz del Árbol, a senior physician with background in physics of particles. Pedro, a senior civil engineer with a strong focus on pavement design, provided critical insights and guidance throughout the project. And last but not least, there's Carlos, a software engineer who worked tirelessly to develop the software to make MAPSIA's pavement distress detection system as user-friendly and accessible as possible. Together, this dynamic team has created a solution that has the potential to revolutionize road maintenance as we know it.

Sure, we would love to hear from you if you are interested in collaborating with us or would like to know more about the MAPSIA project! Please don't hesitate to contact us through the following channels. We are always happy to chat and discuss potential partnerships or answer any questions you may have.

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