Imagine a digital nose that can be tuned to smell specific things, like a certain disease or a pollutant. Instead of one generic sensor, this uses a grid of different materials and AI to recognize unique 'scent patterns.' It's like switching from a basic smoke alarm to a high-tech system that knows exactly what is burning.
Current low-power gas sensors lack the selectivity needed to distinguish between different gases, making them unreliable for medical diagnostics or precise environmental monitoring.
A multi-pixel gas sensor platform using additive manufacturing and AI for data fusion and material selection.
If you are a medical device manufacturer dealing with the need for non-invasive diagnostics — this project developed a multi-pixel sensor platform that analyzes gases from the human body to detect metabolic states and stress levels.
If you are a wearable tech company dealing with inaccurate air quality data for users — this project developed low-power sensors with AI data fusion that can identify 12 target gases to monitor personal exposure to pollutants.
If you are a smart packaging provider dealing with food spoilage and quality control — this project developed miniaturized, low-cost gas sensors that can be integrated into product packaging to monitor quality.
Based on available project data, the project aims for 'low-cost' sensors, but specific unit prices are not provided.
Yes, the project focuses on additive manufacturing approaches for local depositions to demonstrate sustainability in wafer-scale processing.
Based on available project data, licensing details are not specified, though the project involves 6 industrial partners who may hold joint IP.
The sensors are designed as miniaturized, low-power platforms based on micro-hotplates, making them suitable for integration into personal devices and sensor networks.
The project period runs from 2024-06-01 to 2028-05-31, suggesting a development cycle ending in mid-2028.
The consortium is heavily industry-weighted with a 55% industry ratio, comprising 6 companies (5 of which are SMEs) and 5 research/academic institutions across 9 European countries. This structure suggests a strong push toward commercialization and practical application rather than purely theoretical research.
Contact the Luxembourg Institute of Science and Technology
Contact us to connect with the AMUSENS consortium for early adoption of AI-gas sensing.
