Urban Big Data Centre and Glasgow City Council’s CCTV Object Detection Project
The Urban Big Data Centre has built a strong track-record of closely working with UK, devolved and local government, delivering valuable data and analysis to support policy and practice in the governance of urban environments.
We have produced a range of knowledge-sharing presentations, which aim to highlight the benefits of identifying opportunities for collaboration between academic researchers and local authorities on projects that utilise urban data. They also explain the need for effective models for cooperation, so that all parties can benefit from the potential rewards of these partnerships.
In this session collaborators from Glasgow City Council and UBDC describe their efforts to apply novel image detection methods to data from Glasgow’s existing CCTV network in order to automatically count pedestrians and vehicles.
After watching this video you will have an understanding of how this project offers perspectives on mobility habits throughout the city, minimising costs and offering scalability across space and time. You will also learn how open count data enables researchers, the local authority and interested third parties to assess the impact of recent infrastructural developments within the city, and also helps inform subsequent investments.
Presented by:
Dr Mark Livingston, Lead – Housing & Neighbourhoods, Urban Big Data Centre
Kimberley Hose, Head of Business Intelligence, Glasgow City Council
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