DESCRIPTION:

Instant detection of people and bicycles in pedestrian crossings

Our interactive technological demonstration instantly detects people (and bicycles) at pedestrian crossings. The system enables fast detection with only a single camera aiming to alert only those drivers whose vehicles are approaching the crossing area (connected cars).

Analysis of pedestrian crossings areas

The system extracts a set of data and statistics from a video of a pedestrian crossing that helps cities manage mobility efficiently (number of people and bicycles crossing the area, the average/minimum/maximum time to cross the area, the average/minimum/maximum waiting time, etc.)

For instance, it allows the detection of: 

• Very crowded hours may require police monitoring.
• Too short crossing intervals produced by too brief traffic light time
• Excessively long waiting times produced by a bad traffic light configuration
• Too many bicycles indicate the need for a bicycle lane.

These solutions are use cases developed by the CVC within the ‘FEMIoT: Connected Street Infrastructures’ project. FEMIoT is a project coordinated by i2CAT and co-funded by the European Regional Development Fund within the framework of the FEDER Operational Program of Catalonia 2014-2020, to foster collaboration and develop new projects based on the Internet of Things.

More information: https://femiot.cat