Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

VISER - Visual Inspection of airspace for air traffic safety and societal SEcuRity

Reference number
Coordinator RISE Research Institutes of Sweden AB - RISE AB - Digitala System
Funding from Vinnova SEK 4 200 000
Project duration July 2022 - June 2025
Status Ongoing
Venture Advanced digitalization - Enabling technologies
Call Advanced and innovative digitalization 2022

Purpose and goal

The VISER project is developing and testing a system for monitoring the lower airspace based on optical sensors and AI trained with synthetic data. The emergence of a new market and new regulations for drones and aircraft in the lower airspace creates opportunities for Swedish industrial actors. But drones also pose a risk to this market, where actors can intentionally or unintentionally disrupt or destroy. The goal of the project is to develop systems to increase safety in the lower airspace, both for civil aviation and for safety around critical infrastructure.

Expected effects and result

The results from the VISER project will thus be able to be used to provide large-scale security for future autonomous airports and drone logistics as well as increased ability to detect vehicles around restricted areas such as nuclear power plants.

Planned approach and implementation

The VISER project is a collaboration between SAAB and RISE where a cost-effective system is developed and tested for monitoring of the lower airspace at a regional level. The system is based on sensors and machine learning trained on combinations of acquired and synthetic data and learned to detect, classify and position unknown aircrafts. The project applies dynamic product development and end-to-end AI, where short iterations in system development are linked to ongoing research in AI.

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

Last updated 1 December 2022

Reference number 2022-01189