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Granular Positioning Systems for Improved Health Logistics

Reference number
Coordinator Lunds universitet - LU Open
Funding from Vinnova SEK 500 000
Project duration May 2015 - January 2016
Status Completed
Venture Challenge-Driven Innovation – Stage 1 initiation

Important results from the project

The goal is to develop a hardware and software-based system for the collection and analysis of location data that enables better logistical solutions saving large sums of money for the health care system. The system should be real-time based, able to receive a variety of signals and provide more precise location (down to 1 meter). it shall be able to track users and objects, laying the foundation for a variety of context-aware applications. The solutions shall be verified in need-based test-beds for better optimized flows for both people and objects in the health care sector in Skåne.

Expected long term effects

The mapping and positioning techniques must be designed to handle an information intensive reality. Autonomous and robust algorithms, sensors, hardware and software shall be used to design a position based optimization of logistical flows of people and objects. The demonstrator to be developed will be able to draw and position rooms and multiple moving objects with one or more modalities, navigating in this surveyed infrastructure. Relevant hardware and software will be developed to generate, analyze and visualize adequate flows of data.

Approach and implementation

By synchronizing this project with the results of a similar Vinnova projekct Tag On we will gain a lot of time that we would otherwise have needed to put define the needs and criterias of the end users. Within the framework of the Locate IT, we can focus instead on developing the technical service solution that we aim to develop. Possible organizational problems can quickly be overcome and we are able to faster reach the level where we can iteratively implement and test the new, more granular location solution presented by our consortia.

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

Last updated 25 November 2019

Reference number 2015-00379

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