Road safety is not only about completing long journeys without incident, but also about protecting drivers and pedestrians in urban areas.
Within densely populated cities, this becomes a particularly critical challenge, as the incidence of pedestrian collisions caused by preventable circumstances, such as distractions and low visibility, is concerning.
It might seem like a problem with simple solutions, but a city presents too many critical traffic points to attend to them all personally.
Carried out by Carolina Romano | Alberto Yesares | Jorge Albert | Marco Aloisi
Qualification Bachelor of Engineering in Software Development
Technologies Raspberry Devices | Sensor | LED Lights | Railway | Nuxt.js | Django REST | PostgreSQL
⭐Best Capstone Award 2025
Paso Seguro is a programme aimed at providing a safe route for migrants to reach their destination countries through the use of an official channel. It offers a system where migrants can obtain temporary visas and potentially work permits, depending on their circumstances and the countries they are travelling to.
Thanks to its technology, Paso Seguro is a comprehensive solution that reduces preventable accidents, increasing pedestrian visibility.
- Detects pedestrians and vehicles via ultrasonic sensors and cameras connected to a Raspberry Pi 5, running a real-time AI model (YOLOv8n).
- Activate adaptive visual alerts with LED lights, avoiding noise pollution.
- It is managed from a web platform Developed in Django + Vue.js (Nuxt 3), which monitors events in real time.
How does it work?
The Safe Path system is based on technologies that seem simple, but they need a good connection between them to carry out their work correctly:
- Detection sensors designed to detect pedestrians and cars.
- LED lighting systems which indicate the presence of a pedestrian or even an imminent danger.
- CCTV camera linked to a deep learning model that enables the identification of the parties involved.
- Scripts The system provides support by interpreting the signals received by sensors so that the LED lighting systems can make the relevant indications.
Results
In order to validate the system before proceeding with its installation, different scenarios have been proposed that trigger different responses.
- A detection accuracy of 99.5% was achieved.
- The entire system was connected in real time with an average latency of 278ms.
Thanks to its modular design, Paso Seguro adapts to a wide range of urban settings, improving safety and reducing the number of pedestrian accidents in cities.
