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In order to solve the problem of the accuracy of refractoriness test results, the intuitiveness, intelligence and non-contact of test process, an image type refractoriness tester system is designed and implemented based on machine vision technology; The system uses industrial camera and high-performance visual controller to capture the image information of the test scene, and the image information is transmitted to the computer of the laboratory through wireless network; Through the combination of mechanical positioning and software positioning, the tested individuals are separated one by one; The image analysis algorithm is used to extract the effective information of the tested individual image; Through the image tracking technology, the real-time tracking and recognition of the tested individuals are carried out; Field experiments show that refractoriness tester system based on machine vision can complete refractoriness test accurately in real time, and the detection error is less than ± 5 ℃, meeting the requirements of GB / T 7322-2017 for refractoriness test.