ProductUpdated on 12 May 2025
Artificial Vision
About
At Tupl, we apply no-code artificial intelligence to digitize and optimize key processes in the agri-food sector.
Pre-harvest
Analyzes images and videos to assess fruit ripeness by detecting color, measuring size, and quantifying production volume. Enables fruit counting, grading, and quantification with unprecedented accuracy. Facilitates planning and decision-making, ensuring that the harvest is carried out at the optimal time.
Post-harvest
Ensures quality control of production lines. Automates quality inspection with 100% detection accuracy. Reduces costs and improves the quality of the final product.
Looking for
- Commercial Agreement with technical assistance
Applies to
- Digitalisation and process control
Organisation
Similar opportunities
Service
Data Oriented Artificial Intelligence
- Development
- Digitalisation and process control
Ana Somé
Technology Transfer Manager - Specialist on Intellectual Property at Universidad de Málaga
Málaga, Spain
Service
Testing of Developments Targeted at the HORECA Sector
- Development
- Food safety and fraud prevention
- Biotechnology and sustainability
Javier Campión Zabalza
Head of Health and Gastronomy Area at GOe Tech Center, Technology Center in Gastronomy, Basque Culinary Center
Donostia-San Sebastián, Spain
Service
Testing of Developments Targeted at the HORECA Sector
- Development
- Food safety and fraud prevention
- Biotechnology and sustainability
Ibai Martín
Business Developer at GOe Tech Center, Technology Center in Gastronomy, Basque Culinary Center
Donostia, Spain