Abstract: At present,quality inspection of all kinds of sewing stitches relies on manual visual inspection needle by needle.This method may lead to undetection or false detection easily due to the visual fatigue,and which workload is very huge.A quality auto-inspection method of parachute sewing stitch based on stereo vision is proposed in this paper.First,calibrate the stereo cameras to obtain intrinsic parameters and the relative position and posture of stereo cameras.Then,series algorithms of stereo images processing were implemented including image classification,target extracting and feature matching.Finally,combining calibration result of stereo cameras,three-dimensional coordinates of sewing stitch were calculated to obtain the attribute parameters and assess the quality of parachute sewing stitch.Experiment results of multiple groups of parachute sewing stitch data show that the stitch density error is within ± 0.2 pin and the degree of uniformity is almost equal compared with manual detection results.This can fully meet the accuracy requirement of sewing stitch detection,and demonstrate the feasibility and effectiveness of this method.