Conclusion
In conclusion, this work presents a successful implementation of an AI-powered edge computing device for measuring traffic flow at key intersections based on vision sensors. The solution was tested in three municipalities, covering nine intersections and the results show that it is suitable for traffic monitoring. The data collected can be used as a source of information for future projects in the studied locations. The solution was able to capture the impact of rush hour traffic and provide valuable insights into traffic flow patterns. In addition, the solution was able to retrieve meaningful data during both day and night, demonstrating its feasibility. Overall, this project represents a step towards the development of a new paradigm of connected urban infrastructure for the implementation of smart city technologies.
André GlÓria Research Scientist Schréder Hyperion
Diogo Vila Viçosa Data Scientist Schréder Hyperion
With the participation of: Alexandre Bento, Lourenço Bandeira, Michael Steurer and Helmut Schröder
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