基于MPU6050传感器的包裹运动状态识别

Motion-State Recognition of Logistic Parcel Based on MPU6050 Sensor

随着物流业的发展,贵重包裹在物流运输中的状态追踪和识别越来越被重视。使用MPU6050传感器,通过MATLAB显示和分析数据的特征值,再利用支持向量机(SVM)算法进行运动状态建模和预测,识别出包裹当前的状态。试验结果表明:该方法可以有效识别出包裹的运动状态,准确率可达98%。

With the development of logistics industry, more and more attention has been paid to tracing and recognizing the motion states of valuable logistic parcels. By using an MPU6050 sensor to measure acceleration and palstance, the motion state of logistic parcel can be recognized. A MATLAB program was designed to acquire and analyze the data from the MPU6050 sensor, and to model and recognize the motion state of the parcel using the SVM（Support Vector Machine） algorithm. From the simulated and experimental results, it showed that the pattern recognition could reach an accuracy of 98% with the method.