RESUMEN
Objective:To make the quality of STF detection based on traceability management process realize automation, thereby reducing the error evaluation lead to artificial visual error, impartiality and improve the reliability of quality traceability system.Methods: Using image acquisition system, the introduction of computer vision technique in STF cleanliness testing process, so the evaluation results of cleanliness for STF automation, reduce the artificial dependence, improve the fairness and reliability.Results: compared with the previous manual evaluation method to inspect based, automatic generation of test results, more efficient, more accurate.Conclusion: Using the visual processing technology in STF inspection, can reduce the lead toartificial inspection subjective miscarriage of justice, fairness and improve the reliability of the detection conclusion.