Discover the future of urban mobility with the City Sense which is a UIT Data Science Traffic Application for Smart Cities. Our cutting-edge solution revolutionizes the way cities manage traffic, enhancing the quality of life for residents and fostering sustainable urban development.
Detecting traffic using OpenCV and YOLO and tracking the vehicles for counting using Sort
Successfully developed an object detection model using Faster R-CNN to detect vehicles and traffic-related objects in real-time road scenes, supporting smart traffic monitoring and surveillance applications.
This project demonstrates a simple yet powerful application of the YOLOv8 (You Only Look Once) object detection model for identifying various traffic-related objects.
Training detection models (RetinaNet and SSD) to detect road objects, then applying a model to real world traffic video from Moscow.
Deteção de veiculos, tracking de veículo e estimador de velocidade
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