The implementation of this project will explore the possibilities of designing an innovative, flexible, and cost-effective multispectral camera. This camera will combine an affordable high-resolution RGB camera with specially designed optical filters tailored for analyzing specific issues. By integrating computer vision and AI algorithms, automatic material detection and analysis will be enabled. The multispectral camera prototype will be tested to address two specific problems: detecting contamination in food production and remotely monitoring soil for agricultural planning. If the research yields positive results, it could significantly change the approach and accessibility of multispectral analysis for solving problems in various industrial sectors.
Project Goals and Outcomes:
The project's goal is to develop a successful prototype (up to TRL-4) that will confirm the value of this innovative concept and enable broad application across different sectors.
Outcomes:
1. Development of a cost-effective multispectral system prototype with enhanced features (up to TRL-4);
2. Prototype tested for detecting foreign objects in food production and monitoring agricultural land;
3. Preparation of a project proposal for Horizon Europe to secure funding for further system development;
4. Evaluation of the innovation’s patentability for submission to the EUIPO and technology transfer for further exploitation;
5. Scientific publications prepared and submitted for review in Q1 or Q2 journals;
6. Organized events for promoting technology transfer, attended by a significant number of partners;
7. Participation in conferences where key research results are disseminated and presented.
Total Project Value 1.383.296,44 EUR
EU Co-Funding: 1.164.665,31 EUR
Project Duration: 1.5.2024.- 30.4.2026.
Contact Person for More Information: Filip Novoselnik
Email: filip@protostar.ai
For more information on the EU Call that funds this project, visit: https://fondovieu.gov.hr/pozivi/73
