UBDC CCTV Object Detection
The Glasgow CCTV Object Detection platform provides counts of persons, cyclists and different types of vehicles for more than 50 locations across the city. This counting process is achieved by using the Glasgow City Council network of CCTV cameras. Every 30 minutes a snapshot is taken at the same location, and the resulting image is processed by a detection model to localise the objects of interest on it. Afterwards, the localised objects are counted and published in the API. See example below:
Logging new data at regular intervals each day, this project aims to improve public understanding of mobility and traffic patterns across Glasgow.
This platform provides data from two object detection models:
The data in the API can be accessed in two ways:
You can also visualize the data with our dashboard and perform aggregations by period of time and using different aggregation methods. Furthermore, aggregations can be filtered by classes of objects and by camera.
Download and dashboard functionalities are only available for the Yolo model.
Please check our technical notes at:
© Urban Big Data Centre, University of Glasgow, 2023
Developed by the Data Science Team @ UBDC