IMAI Operational Group: Wood identification by mobile device
- Type Operational group
- Execution 2020 -2023
- Assigned Budget 331.548,65 €
- Scope Supraautonómico
- Autonomous community Andalucía; Madrid, Comunidad de
- Main source of financing PEPAC 2014-2020
- Project website http://www.goimai.es
Description
IMAI promotes the development of an Android and iOS application for wood identification using artificial intelligence (deep learning) through images obtained using 24, 100, 200, and 400x magnification magnifying glasses attached to a mobile phone.
Objectives
- Conduct a diagnosis of the wood industry in Spain and thereby select the woods that can be traded nationally and internationally.
- Creation of a database of 400 commercial wood species.
- Optimization of deep learning algorithm models for wood identification for the selected species database.
- Integrating the deep learning model into mobile software platforms.
Results
- Report on the diagnosis of the wood sector in Spain and selection of the species included in the project.
- Creation of an information database and macroscopic photographs with magnifying glasses of different magnifications of more than 400 commercial wood species, including species listed in the CITES Convention.
- Development and optimization of different deep learning algorithms for wood identification.
- Deployment of a native app on Android and iOS to integrate the deep learning model and provide a user-friendly interface to the app that interacts with the model.
Contact information
- Coordinator/entity name: UPM
- Coordinator/entity email: paloma.depalacios@upm.es
Collaborators
- Fundación Descubre
- Everyware Technologies
- Donosti Frame
- José Luis Fermosel Álvarez
Beneficiaries
- Universidad Politécnica de Madrid (UPM)
- Universidad de Granada (UGR)
- Asociación Española del Comercio e Industria de la Madera (AEIM)
Outsourced
- Everyware Technologies S.L.
- Donosti Frame
- Fundación Descubre
- José Luis Fermosel Álvarezv
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