A computer-implemented method for assigning an image interpretation task, comprising: acquiring a scanned packet image of a packet when the packet enters a security machine; performing risk analysis on the scanned packet image to assess an image risk degree of the scanned packet image; evaluating an image interpretation level for security inspectors of an image interpretation workstation; and assigning, based on a preset strategy, the scanned packet image to a corresponding image interpretation workstation according to the image risk degree and the image interpretation level, characterized in that performing risk analysis on the scanned packet image to assess an image risk degree of the scanned packet image comprises: analyzing a proportion of substances contained in the scanned packet image using a substance identification algorithm, the substances comprising organic matter, inorganic matter and/or mixtures; and determining the image risk degree of the scanned packet image according to the proportion of substances, wherein the method further comprises: setting in advance a corresponding image risk degree for the scanned packet image based on the proportion of substances of the scanned packet image, and wherein when the proportion of the substance is indicative of that the proportion of organic matter occupied in pixels of the scanned packet image is high, the image risk degree of the scanned packet image is considered to be high. acquiring a scanned packet image of a packet when the packet enters a security machine; performing risk analysis on the scanned packet image to assess an image risk degree of the scanned packet image; evaluating an image interpretation level for security inspectors of an image interpretation workstation; and assigning, based on a preset strategy, the scanned packet image to a corresponding image interpretation workstation according to the image risk degree and the image interpretation level, characterized in that performing risk analysis on the scanned packet image to assess an image risk degree of the scanned packet image comprises: analyzing a proportion of substances contained in the scanned packet image using a substance identification algorithm, the substances comprising organic matter, inorganic matter and/or mixtures; and determining the image risk degree of the scanned packet image according to the proportion of substances, analyzing a proportion of substances contained in the scanned packet image using a substance identification algorithm, the substances comprising organic matter, inorganic matter and/or mixtures; and determining the image risk degree of the scanned packet image according to the proportion of substances, wherein the method further comprises: setting in advance a corresponding image risk degree for the scanned packet image based on the proportion of substances of the scanned packet image, and wherein when the proportion of the substance is indicative of that the proportion of organic matter occupied in pixels of the scanned packet image is high, the image risk degree of the scanned packet image is considered to be high. setting in advance a corresponding image risk degree for the scanned packet image based on the proportion of substances of the scanned packet image, and wherein when the proportion of the substance is indicative of that the proportion of organic matter occupied in pixels of the scanned packet image is high, the image risk degree of the scanned packet image is considered to be high.