Online Machine Vision System for Inspection of Poultry Carcasses

摘要

A machine vision system was developed and evaluated for automation of online inspection to differentiate freshly slaughtered wholesome chickens from systemically diseased ones. The system consisted of an electron-multiplying charge-coupled-device (EMCCD) camera and an imaging spectrograph to obtain line-scan images quickly in a processing line of a poultry plant. The system scanned the surfaces of freshly slaughtered chicken carcasses on an eviscerating line at a speed of 140 chickens per minute. Analgorithm was implemented in the system to automatically recognize carcasses entering and exiting the field of view, to locate the region of interest (ROI) of the chicken surface, to extract useful spectra from the ROI as inputs to the differentiation method, and to determine the chicken condition for each carcass. The system can take either hyperspectral or multispectral images without any cross-system calibration. The essential spectral features were selected from hyperspectral images of chicken samples. The differentiation of chickens on the processing line was carried out using multispectral imaging. The high accuracy obtained from the evaluation results showed that the machine vision system can be applied successfully to automatic online inspection for chicken processing.