Development of thermal imaging system to assure safety and quality of ready to eat chicken products****

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At present, visual inspection is the most common method used in food industries for cleaning, grading and quality determination. However, this method has several disadvantages such as subjectivity, efficiency, requirement of skilled workers and so on. Computer vision (CV) techniques are becoming popular for automated online inspection methods. In CV technique, the object is imaged and analyzed to obtain useful information from the object. Algorithm development, calibration and validation are the most challenging parts that determine the success of the CV technique. In this project, thermal imaging based CV system will be developed and tested for ready to eat (RTE) chicken products.****