Objective
Automated techniques for identifying the sex of chicks are not present on the market. In this project, a system will be developed which include an appropriate chick carrier, an optical system, and a PC based image recognition system. The "heart" of this proposed research project is the development of an expert image processing and image pattern recognition algorithm for the detection of chick sex. In recent years, there has been a significant amount of research on the development of improved methods for optical imaging. The developments made shall be adapted and applied by this project for the inspection of chick sex in poultry production.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesartificial intelligencecomputer visionimage recognition
- natural sciencescomputer and information sciencesartificial intelligencepattern recognition
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Call for proposal
Data not availableFunding Scheme
EAW - Exploratory awardsCoordinator
93128 REGENSTAUF
Germany