Project cooperationUpdated on 23 April 2025
Advanced machine vision technology provider
About
Vision solutions enable the construction of modern advanced classification, measurement and control systems. Together with control and executive systems, they play an important role in industrial, production and research solutions.
The use of vision technologies supported by ML and AI algorithms enables automatic classification of objects (sorting polymers, textiles), measurement of substance and contaminant concentrations (humidity, glucose level, fat, microbial contamination).
Classifying products at an early stage of production allows for the rational use of resources - unattractive or contaminated food products can be redirected for in-plant processing, preventing them from being released onto the market and later resulting in costly disposal.
Advanced material classification based on hyperspectral imaging allows for efficient sorting of waste or textiles, enabling their reuse or recycling.
Our solutions enable research by providing objective, multi-domain measurement data that enables analysis and process control.
Vision solutions and automation are also useful in biological research such as phenotyping, soil, vegetation and pest analysis, leading to reduced use of plant protection products and fertilizers and the development of new species resistant to climate change.
Stage
- Early stage
- Advanced stage
Type
- Partner looking for consortium
Organisation
Similar opportunities
Project cooperation
- Early stage
- Partner looking for consortium
Cem Mutlu Türkseven
EU and Foreign Relations Office Coordinator at Giresun Governorship at Giresun Governorship
Giresun, Türkiye
Project cooperation
- Early stage
- Partner looking for consortium
Marianna Kotzabasaki
Senior Researcher/ Project Manager at Agricultural University of Athens at Agricultural University of Athens - Farm Structures Lab
athens, Greece
Project cooperation
- Early stage
Liangxiu Han
Professor of Computer Science, Faculty Lead for AI,Digital and Cyber Physics Systems Theme at Manchester Metropolitan University
Manchester, United Kingdom