To accurately evaluate the resources of white shrimp（Litopenaeus vannamei）in the aquaculture water, a method for detecting and identifying and evaluating the resources of White Shrimp using Dual-Frequency Identification Sonar (DIDSON) is researched and developed. The experiment was conducted in a breeding pond (Length 170 m ⅹ Width 60 m) in Shanghai. The acoustic data of White Shrimp was collected by using an unmanned ship equipped with acoustic cameras to carry out navigation measurements in the pond, a target recognition, and counting model were constructed for its acoustic imaging to carry out the automatic tracking and counting work of White Shrimp images, and the accuracy of the recognition and counting of the model was verified by combining the fishing data and manual visual counting. The results showed that the fishery resource assessment results of White Shrimp in the pond showed that the number of large-sized individuals (body length> 10 cm) accounted for 78.2%; the average density of the water surface was 7.39 ind/m2; the total number was 75369 ind. The deviation between the artificial visual individual count of the acoustic image of white shrimp and the automatic counting using the target recognition counting model is about 8.47%; the total mass in the pond is estimated to be about 1415 kg from the relationship between the body length and weight of the White Shrimp, which is different from previous fishing. According to statistics, the body weight deviation of White Shrimp is about 8.63%. The DIDSON of this study is suitable for the evaluation of shrimp resources in ponds and behavior observation. The evaluation results provide an indicator for the management of shrimp resources in the ponds. At the same time, the evaluation research methods can be extended to the data acquisition and analysis of shrimp aquaculture management.