FACTORDEV - R&S
Image Analytics
for Seafood machinery using AI
- CUP:
- C29H23000040009
- Project Title:
- IASAI – Image Analytics for Seafood machinery using AI
- Beneficiary and/or Partners:
- Infoteam srl (Capofila),
Factordev srl (Partner),
Consiglio Nazionale delle Ricerche CNR-ISMN socio BI-REX (OdR Partner) - Managing Authority:
- BI-REX – Big Data Innovation & Research Excellence Competence Center
- Program:
- Piano Nazionale di Ripresa e Resilienza (PNRR) – Missione 4 Componente 2 – Investimento 2.3
- Measures or Actions
- Bando per la selezione di Progetti di Innovazione Tecnologica – Call 4
- Project start date:
- November 2023
- Project end date:
- April 2025
- Total project duration:
- 18 months
- Total eligible project expenditure:
- 20.000,00 euro, co-financing: 8.912,00 euro
- Eligible expenditure for Factordev:
- 10.000,00 euro, co-financing: 4.500,00 euro
- Description:
- The project aims to develop a machine learning system for fish species recognition. Within the scope of smart manufacturing, the application context is technological innovation in the agri-food industry, specifically in the fishing and aquaculture supply chain. The project includes prototyping a computer vision system capable of identifying a set of fish species captured via specific IPCAMs and organized in a distributed cloud-based database to enable reinforcement learning of the AI model. Special attention is given to the engineering and industrial automation processes to ensure fast execution times and to optimize the cloud-based transmission of collected data. The prototype will be implemented on industrial automation machines used in the commercialization of seafood products, within one of the Italian fish markets. The Image Analytics system is designed to be deployed on any industrial machine that requires fish species recognition, allowing automation of production processes such as traceability, processing, and packaging. Additionally, it contributes to collecting valuable downstream data from the production cycle itself.











