Artificial vision applied to traffic and transportation
Intelligent artificial vision applications for urban mobility management
Type of project:
CDTI – Centre for the Development of Industrial Technology
The objective of the project was to design and develop machine vision equipment applied to traffic and transport, including solutions for number plate detection, vehicle counting, queue detection and red-light violations.
The solution included the design of state-of-the-art hardware based on DSP and ARM microprocessors, where we developed vision algorithms based on Deep Learning.
All this provided a hardware and software ecosystem that continued to evolve by incorporating new bus lane and intelligent parking management applications, among others.