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Continuous Multimodal Biometrics for Vehicles & Surveillance

Reference number
Coordinator Högskolan i Halmstad
Funding from Vinnova SEK 499 495
Project duration April 2018 - June 2019
Status Completed

Important results from the project

The aim is to improve the prospect of upcoming applications in digital security. We specifically focus on safety of humans, both within and outside vehicles, and with relation to people crowds. This has impact on several Swedish government strategic cooperation programs, specially Smart Cities and Transport To ensure a successful implementation, we have engaged integrated and balanced consortia involving researchers, agencies, ICT, security, and transport companies, as well as end users. Privacy, user acceptance or usability will also be central issues to be taken into account

Expected long term effects

The prospects of the Swedish partner to become involved in cooperative activities in the field of security have improved considerably after this project (specific work detailed below). In parallel, the project leader obtained another Vinnova grant (staff exchange in AI) to spent 3 months outside Sweden in a SME of the biometrics sector. This purposely connects with the efforts of the present project to increase cooperation with non-Swedish partners (a requirement in EU calls), with the added value of permeation between academia and industry staff.

Approach and implementation

Specific activities: Two ongoing EU applications on Networks For Smart Mobility, and Road Safety By Monitoring Patterns And Fitness Of Drivers (calls January 2020) Founding of the Swedish Digital Forensics Competence Center, with Polisen, LiU, and RISE. The consortium has >15 Swedish industry and agency partners. Unique educational partner (with LiU) Organizing Committee of the EAB Research Projects Conference, the largest event (>100 participants) funded by the EU in the area of Biometrics, where active EU projects present their ongoing work and results (18 projects in 2018).

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

Last updated 8 January 2019

Reference number 2018-00472

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