Wood identification by mobile device
- Type Grupo operativo
- Status Filled
- 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 the identification of wood by artificial intelligence (deep learning) through images obtained by using magnifying glasses of 24, 100, 200 and 400 magnifications, attached to a mobile phone.
Objectives
- Conduct a diagnosis of the wood industry sector in Spain and thereby select the woods that can be part of national and international trade.
- 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 that have been included in the project.
- Creation of an information database and macroscopic photographs with magnifying glasses of different magnifications of more than 400 commercial species of wood, including species covered by 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 usable interface to the app that interacts with the model.
Contact information
paloma.depalacios@upm.es
Coordinators
- Universidad Politécnica de Madrid (UPM)
- Universidad de Granada (UGR)
- Asociación Española del Comercio e Industria de la Madera (AEIM)
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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