人工智能自动扫码仪器的支付状态检定方法

Payment status verification method of artificial intelligence automatic code scanning instrument

传统的人工智能自动扫码仪器的支付状态检定方法检测准确率低,为了解决这一问题,在传统研究的基础上设定了一种新的人工智能自动扫码仪器的支付状态检定方法,分析人工智能自动扫码仪器的支付状态,检测人工智能自动扫码仪器的支付状态,确定响应灵敏度和时域响应回波两个支付参数,通过测试过程明确自动扫码仪器与物体位置的关系。为检测方法的有效性,分别在平坡和斜坡上分析回波数据,判断检测结果准确率,结果表明,给出的人工智能自动扫码仪器的支付状态检定方法的检测准确率始终高于传统检测方法,具有很好的应用效果。

The traditional artificial intelligence automatic code scanning instrument payment status verification method has a low detection accuracy.In order to solve this problem,a new artificial intelligence automatic code scanning instrument payment status verification method is set up based on traditional research.Analyzing the payment status of artificial intelligence automatic code scanning equipment,the payment status of artificial intelligence automatic code scanning equipment is detected.The two payment parameters of response sensitivity and time domain response echo are determined,and the relationship between the automatic scanning equipment and the position of the object is clarified through the test process.In order to test the validity of the method,the echo data was analyzed on flat slopes and slopes to determine the accuracy of the detection results.The results show that the accuracy of the payment status verification method of the artificial intelligence automatic code scanning instrument is always higher than that of traditional detection.The method has a good application effect.