Ultrasonic sensors are commonly used as an affordable way to measure distance in industry. However, the accuracy of measurement is often low, especially when inexpensive sensors and reasonably low-priced equipment are used. In this article, a low-cost ultrasonic sensor module which is used for threshold detection techniques is examined. Several numerical techniques such as Least Square Method (LSM), piecewise LSM and Van der Monde Method are applied to the sensor data to increase the accuracy of distance measurement.

In conclusion, the Smart Filter Signal Detection algorithm is applied to the sensor data and results are compared. The Smart Filter Signal Detection algorithm provides 0.4 millimeters accuracy. In order to achieve this accuracy, the environment temperature is taken into account.