The work aims to design a detection system of community domestic garbage sorting equipment to respond to the trend of national garbage sorting policy, improve the sorting accuracy, change the current situation of "mixing and throwing", increase the accuracy of urban garbage sorting and delivery from the source. Combined with the existing garbage sorting methods of bulk density threshold and multiple evaluation criteria, the bulk density threshold of each type of garbage was summarized as a judgment method of garbage sorting. The volume detection module was designed, which used the laser ranging sensor lattice to obtain the occlusion map and cross-sectional area of the object to be measured, and calculated the volume of the object to be measured, and calculated the bulk density of the object to be measured in combination with the weighing sensor, and classified and judged the object to be measured according to the bulk density interval. According to the sorting standard of bulk density threshold, a variety of random samples were detected. The bulk density detection values of most recyclables and kitchen garbage were within the bulk density threshold of each category and could be correctly sorted. The remaining samples were within the bulk density threshold of mixed garbage, which conformed to the principle of boundary condition setting and fuzzy garbage samples were treated according to other garbage standards, and the test results met the sorting requirements. The community domestic garbage sorting system based on measurement of volume and bulk density can meet the function of sorting and detecting domestic garbage in the front-end delivery of residents, help to improve the accuracy of sorting from the source, and effectively promote the development of garbage sorting and renewable resource utilization in China.