Development of Imaging System for Online Detection of Chicken Meat with Wooden Breast Condition

In recent years, the wooden breast condition has emerged as a major meat quality defect in the poultry industry worldwide. Broiler pectoralis major muscle with the wooden breast condition is characterized by hardness upon human palpation, which can lead to decrease in meat value or even reduced consumer acceptance. The current method of wooden breast detection involves a visual and/or tactile evaluation. In this paper, we present a sideview imaging system for online detection of chicken breast fillets affected by the wooden breast condition. The system can measure a physical deformation (bending) of an individual chicken-breast fillet through high-speed imaging at about 200 frames per second and custom image processing techniques. The developed image processing algorithm shows the over 95% classification performance in detecting wooden breast fillets.

Automated summary

Wooden breast condition is a major meat quality defect in the poultry industry. Current detection methods involve visual and tactile evaluation. This paper presents a sideview imaging system for online detection of wooden breast affected chicken breast fillets, achieving over 95% classification performance.