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Measurement of Safety in public spaces through Street Viev Imagery

Reference number
Coordinator RISE Research Institutes of Sweden AB
Funding from Vinnova SEK 300 000
Project duration March 2023 - February 2024
Status Ongoing
Venture The strategic innovation programme for the Internet of Things
Call IoT for innovative social benefits and a better life for everyone in a connected world

Purpose and goal

This project aims to develop and test a platform for measurements in an urban environment - of e.g. places´ safety, accessibility and/or traffic safety with the help of image analysis ("Computer vision") on Street View Imagery. The images can be user-generated, come from Google Street View or other large-scale image platforms and constitute a huge and in Sweden rather underutilized data source for measurements in cities. The project intends to test the technology as a proof-of-concept.

Expected results and effects

** Denna text är maskinöversatt ** The expected result of the project is that RISE, together with the owner of the needs, gets to test the technology, and can assess the potential for scale-up. We expect that the utility and potential of this technology can be very great, but it needs to be shown in small format first. If a measurement about a specific place quality for a municipality has been made and a neural network trained for this, the same network can be used by another municipality for similar measurements.

Planned approach and implementation

The project will - gather images through browser emulation) over the urban area of Tomelilla (which is a pilot municipality) from image platforms - using computer vision techniques extract information about specific place qualities associated with perceived safety - based on the above technique, answer specific questions about places in an area: e.g. "Are there one or more conditions on the site that are associated with the feeling of insecurity?" - with the technique described above, be able to map relevant site qualities over a more electric. smaller larger area in a city

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 22 March 2023

Reference number 2022-03747

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