Abstract: To solve the problems such as low efficiency of manual detection of particle size and shape of fracking quartz sand proppant, large random error, and inability to detect online, the introduction of dynamic image detection method can not only measure particle size and shape simultaneously, but also explore new ideas for online detection of proppant. Firstly, research on dynamic image processing algorithms for quartz sand was carried out, achieved particle extraction and analysis calculations in quartz sand images, accurately obtained the particle size and shape parameters of quartz sand, and designed a testing system. Secondly, three commonly used proppants, 20-40 mesh, 40-70 mesh, and 70-140 mesh, were compared and tested with traditional screening and electron microscopy methods. The measurement efficiency increased by nearly 200 times, with repeatability errors within 1.7% and accuracy errors within 1.5%. The results show that, the dynamic image method can solve the problems of low manual detection efficiency and large random error, and the system can be deployed and installed on quartz sand preparation production lines or hydraulic fracturing construction sites to achieve online testing and comprehensively improve the quality control level of fracturing materials.