Halal requirement in food is important for millions of Muslims worldwide especially for meat and chicken products,insuring that slaughter houses adhere to this requirement is a challenging task to do manually. In this paper a method is proposed that uses a camera that takes images of slaughtered chicken on the conveyor in a slaughter house,the images are then analyzed by a deep neural network to classify if the image is of a halal slaughtered chicken or not.
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