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Automatically count traffic volume using AI from fixed camera footage!
This is an object counting system that combines deep learning object detection technology and object tracking algorithms. It tracks vehicles from footage captured by a fixed camera and counts the number of cars that pass through a specific section. The types of vehicles to be classified need to be learned as necessary.
Utilizing sensor data to solve traffic issues in smart cities!
In smart cities, accurate data collection is essential for efficient urban management when it comes to understanding traffic volume. Particularly, real-time data acquisition is crucial for visualizing traffic flow and achieving congestion mitigation and a safe traffic environment. However, existing systems face challenges with the time-consuming processes of data acquisition and organization, as well as analysis. Our sensor integration solution addresses these challenges by centrally collecting and visualizing data from multiple sensors. 【Use Cases】 - Understanding traffic volume at intersections - Visualizing road congestion - Analyzing public transportation usage 【Benefits of Implementation】 - Real-time understanding of traffic conditions - Implementation of measures for congestion mitigation - Realization of more efficient urban planning
