“When applied to a reinforcing dataset containing 27,828 images of chickens in a stunned state, the identification accuracy of the model was 98.06%. This was significantly higher than both the established back propagation neural network model (90.11%) and another Faster-RCNN model (96.86%). The proposed algorithm can complete the inspection of the stunned state of more than 40,000 broilers per hour. The approach can be used for online inspection applications to increase efficiency, reduce labor and cost, and yield significant benefits for poultry processing plants.” https://www.sciencedirect.com/science/article/pii/S0032579119579093
Their abstract frames benefit in terms of slaughtering efficiency. Interesting ‘local optima’ ethics-wise. But yes, since we kill 178 million broiler chickens a day, we should at least have an AI checking that the stunning worked. Perhaps implement some “Ethics policy” to re-stun the chicken, if not properly stunned.
(Stunning means the conveyor belt dipping chickens’ heads into electrified water, to stun them, so their heads dangle and can be ripped off mechanically)