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CSB Sex Recognition
AI-based sex recognition for pig carcasses
Your slaughter line cannot afford delays. However, manual and semi-automatic carcass valuation is complex, error-prone, and slows down your process.
With CSB Sex Recognition, you fully automate this step. Based on a deep learning model, the system achieves prediction accuracy of 99 percent.
Automatic sex recognition of pig carcasses
At the slaughter line, directly within the process
Deep learning model with 99% prediction accuracy
Sorting and further processing based on sex
Scalable with additional valuation criteria
Assessment of variations within standardized grades
Focused value creation
CSB Sex Recognition replaces manual, subjective recognition methods on the slaughter line. Digital analysis stabilizes your processes, reduces error rates, and helps you generate more value.
Instead of relying on standard formulas for lean meat determination and cut valuation, CSB Sex Recognition supports the use of sex-specific parameters. Combined with the CSB Image Meater, it turns market value determination into a fully automated, high-precision process that increases value creation.
Frequently asked questions about CSB Sex Recognition
CSB Sex Recognition identifies sex-specific characteristics and applies them directly in grading and sorting. Carcasses can then be sorted according to lean meat and fat content or graded using sex-specific estimation formulas. Optionally, the solution can be expanded with additional criteria, such as the valuation of ham variants or the preselection of animals for additional examinations, including odor tests.
CSB Sex Recognition uses computer vision and artificial intelligence to automatically identify pigs, track them throughout the process, and generate reliable evaluations. Developed in cooperation with the universities of Bonn and Ghent, the solution requires no additional external hardware. It is easy to integrate and has been designed specifically for the demanding conditions in abattoirs.
CSB Sex Recognition classifies carcasses with an accuracy of more than 99 percent, and it enables reliable, consistent in-process classification. It also supports standardized valuation of additional characteristics. This creates a reliable database for advanced classification and downstream process steps.
Thanks to its small footprint, CSB Sex Recognition can be integrated as a stand-alone solution into nearly any slaughter line. All it requires is a power outlet and a network connection. Standardized interfaces enable seamless integration with existing systems and IT infrastructures.
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