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The automatic defect detection has been a research focus in the field of fabric defect detection on-line. To meet the application requirements for high-speed and real-time defect detection, a fabric defect detection hardware system based on TMS320DM642 is designed. The system is consisted of the following parts:illumination & imaging, image acquisition & real-time processing, result display & statistical analysis. It can take full advantage of the digital signal processors’ high-speed operation ability and improves the speed of detection effectively. This paper proposes an algorithm based on adaptive threshold segmentation for defect detection. This algorithm enhances the detection probability of the threshold value corresponded to the fabric images’ gray histogram troughs and improves the accuracy of detect images’ segmentation. The defect detection rate reaches 93.6% through cambrayon detection experiment using the algorithm based on the hardware system platform. The result shows that the system can achieve the automatic and real-time fabric defect detection and has the high detection efficiency.