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The traditional industrial robot obstacle avoidance system can only process data information, resulting in low obstacle detection accuracy and poor practical application of the designed obstacle avoidance route. To this end, the introduction of blockchain technology to design a new industrial robot vision detection and obstacle avoidance system. The system design is divided into hardware and software. The hardware optimizes the system power supply, analyzes the environmental information and obstacle parameters through the sensor, selects the TX-AS700 wireless radio frequency communication module, and uses the HSJ-2 chip as the core of the detector circuit to transmit and Store obstacle data. The software part sets the application program in the Visual C ++ program framework, and combines with the database resources in the blockchain technology to achieve image information extraction, calculate the block moment to obtain the obstacle detection formula, and analyze and process the obstacle information through the simulation program, and Design effective obstacle avoidance routes. The experimental results show that the industrial robot vision detection and obstacle avoidance system based on blockchain technology can extract image information, the detected obstacles have high accuracy, the average detection efficiency of the system is 83%, and the obstacle avoidance accuracy is close to ideal avoidance Obstacle effect, can plan a more effective obstacle avoidance program.