CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
The SLAM-DAST project aims to develop a cost-effective system for monitoring physical parameters like temperature and vibrations using distributed fiber optic sensors. This technology is designed for various applications, including smart homes and logistics, enhancing safety and efficiency in urban environments.
Distributed Acoustic Sensing (DAS) and Distributed Temperature-Strain Sensing (DTSS) are two ground-breaking Distributed Fibre Optic Sensor (D-FOS) technologies that allow large-scale measuring and mapping of acoustic vibrations,
temperature, mechanical deformations, and pressure in a large variety of consumer-based, civil, industrial, and environmental applications, in particular for attaining the widespread technological nerve system in smart city environments,
for instance in smart home/house…
CONSIGLIO NAZIONALE DELLE RICERCHE
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Italy, Zola Predosa
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
NETHERLANDS ORGANISATION FORAPPLIED SCIENTIFIC RESEARCH
Netherlands, Den Haag
Type: Research institute
Activity type: Research Organisations
SME: No
Norway, Oslo
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
DRUSHTVO ZA KONSULTANTSKI DEJNOSTICIVITTA MK DOOEL
North Macedonia, Skopje
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.
