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In the production site, especially in the assembly and debugging process of small batch and large-scale equipment, there is a large demand for screws, and the screw connection status has a significant impact on the assembly quality. At present, the inspection of this process still needs workers" visual inspection and manual record, which is subjective, low automation level and low efficiency. According to the screw state detection in the assembly process, based on the way of visual detection, the screw tightening degree is identified to improve the detection accuracy and efficiency. First of all, the screw is positioned by effective matching of linear features. Then, the screw area is effectively segmented to extract the features of screw area. Finally, the extracted features of tightened screws and untightened screws are classified and identified to identify the untightened screws on the equipment, with the accuracy of less than 2mm. Moreover, the portable detection equipment is adopted, which is convenient for deployment and can be used for In the assembly quality inspection of small batch and large-scale equipment.