Sensing for Offal Grading and Enablement of Automation
Since offal inspection requires both internal (excision and/or palpitation) and external (visual) activities, an automated offal inspection station must offer both internal and external inspection mechanisms. This project aimed to simplify this complex problem by using several sensors located in a multi-sensor tunnel.
The project demonstrates that multiple sensing technologies can identify and inspect offal internally and externally, and classify between organs fit for consumption and those needing to be condemned. The data can be captured, processed and actioned within a few seconds and would enable real time sorting in plants. Offal inspection can be executed without causing damage to the individual pieces.
From the successful results, a follow-up project will conduct on-plant trials.