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Abstract: Remainder controlling is one of the most difficult problems in the intelligent manufacturing process of aerospace products, and detection of remainders is the basis of the control. Due to the complexity of aerospace products' structure and the diversity of remainders' features, there is no dataset, machine vision-based online detection of remainders faces many challenges. The harm of remainders and the necessity to detect were elaborated, as well as the development status of the de-tection technology, especially the vision method. The comparison of each method was studied. The feature of intelligent manufacturing process was synthetically analyzed. Then the machine-vision based detection technology of remainders were classified. From the perspective of the intelligent laboratory, the difficulties and possible solutions were proposed.