MOTIA2: Technical report
MoTIA2 is a project funded by the Valencian Institute for Business Competitiveness (IVACE) and the European Union through the European Regional Development Fund (ERDF). The main objective of this project is to propose, investigate and implement a series of Industry 4.0 techniques to be applied in the mass breeding of insects in biofactories. In particular, the focus will be on three general objectives: (a) implement high-speed classification and counting algorithms applied to the counting and classification of tiger mosquito pupae and larvae; (b) develop AI-based computer audition algorithms for the detection of sound anomalies and apply them to the detection of females in Sterile Insect Technique (SIT) release containers; (c) develop and implement AI-based computer vision algorithms for the detection and classification of mosquito eggs in still images of deployed field traps.
Institutions
- Fundación Centro Tecnológico de la Información y la Comunicación (ES)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-02
- DOI
- https://doi.org/10.5281/zenodo.14258770
- Primary Topic
- Digital Imaging for Blood Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00