In order to study the effect of robots in the treatment of pancreatic cancer in the context of smart medical, this paper improves the robot recognition technology and data processing technology and improves the system kernel algorithm through the hash algorithm. Unlike the traditional sequencing method that directly uses the gray average value as a feature, the hash algorithm calculates the gray three-average value of each frame block and uses the difference of the three-average value of adjacent frame blocks to perform detection. Moreover, this paper proposes a detection and localization scheme based on hash local matching, which consists of two parts: coarse matching and fine matching. In addition, this paper designs a control experiment to analyze the effect of robots in the treatment of pancreatic cancer, counts multiple sets of data, and uses mathematical statistics to process and visually display the experimental data. The research shows that the robot has a good clinical effect in the treatment of pancreatic cancer.
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