Abstract: A process for detecting foreign objects in a food-containing product stream comprises: forwarding the product stream, illuminating the product stream, generating raw data based on electromagnetic energy reflected from the product stream using a camera, and processing the raw data to generate classified image data corresponding with food product, foreign object(s), and background. A system for detecting foreign objects in the product stream comprises a forwarding device, an illuminator, a camera, and instructions in memory that form image data and classify the data as corresponding with food product, foreign objects, and background.

Abstract: A process for detecting foreign objects in a food-containing product stream comprises: forwarding the product stream, illuminating the product stream, generating raw data based on electromagnetic energy reflected from the product stream using a camera, and processing the raw data to generate classified image data corresponding with food product, foreign object(s), and background. A system for detecting foreign objects in the product stream comprises a forwarding device, an illuminator, a camera, and instructions in memory that form image data and classify the data as corresponding with food product, foreign objects, and background.

Abstract: An automated process assesses an amount of meat remaining on a trimmed animal carcass by generating image data of the carcass and processing the image data in a computer to calculate the amount of meat remaining on the carcass. The automated process can be carried out using an equation developed by counting pixels in an area of interest in images of a plurality of reference trimmed carcasses from which the remaining meat is thereafter scraped and weighed, to produce data points used to develop the equation which is then used to calculate the amount of meat remaining on a trimmed carcass as it proceeds down a processing line.

Abstract: An automated process assesses an amount of meat remaining on a trimmed animal carcass by generating image data of the carcass and processing the image data in a computer to calculate the amount of meat remaining on the carcass. The automated process can be carried out using an equation developed by counting pixels in an area of interest in images of a plurality of reference trimmed carcasses from which the remaining meat is thereafter scraped and weighed, to produce data points used to develop the equation which is then used to calculate the amount of meat remaining on a trimmed carcass as it proceeds down a processing line.