Abstract: The rapid development of Internet and e-commerce has brought disruptive change of logistics industry.However,there are still some problems for logistics industry,such as high cost,low technical equipment and low efficiency in the distribution system.For a long time,the use of goods’ geometry information,which can be very helpful in improving packing,classification and transport,is a weak process in logistics industry.Focusing on the above problems,this paper built an intelligent system to measure geometry size of logistic goods.Based on stereo vision system and by the combination of disparity algorithm for 3D reconstruction and feature extraction algorithm, the system computes the geometry size for general logistics in complex background and is less affected by light.The experimental results show that this system can be implemented to compute the geometry size quickly for the logistics industry,and its mean measurement error is less than 2% and maximum error is less than 3%,which can meet the basic requirement of logistics.

Key words: Feature extraction, Geometry size, Logistics industry, Stereo vision