Bone belt monitoring: In line validation and demonstration Vision RBG stage 3-4
Optimising carcass yield in a beef deboning roomis a primary driver of processor profitability. However, keeping track of deboning quality is notoriously difficult.
Valuable meat left on bones is quickly lost to the bone belt. Traditional manual batch checks are often sporadic and less insufficient for managing continuous process control with lasting corrective effects.
This research was conducted to transition a previously validated laboratory-scale RGB-vision AI concept into a fully operational, in-line industrial prototype. By providing real-time, continuous monitoring of bone trim quality, the system acts as a direct feedback loop for supervisors, enabling them to identify specific deboning mistakes, retrain operators, manage day-to-day corrective actions and prevent valuable product from being sold as low-value byproduct.