Department of Mathematics, Data Science, and Engineering, University of Quebec at Rimouski Rimouski, Canada
Research Article
Improving Measurement Accuracy of Sound Pressure in Vibrating Machines Using a Doosan Robot
Author(s): Oussema Triki* and Raef Cherif
Measuring sound pressure is a complex and tedious task in industrial environments. Classical methods can be costly, inaccurate, and potentially dangerous for workers. Integrating robotics and computer vision into acoustic measurement processes offers an innovative solution to these problems. This paper uses a Doosan Robotic Vision System to investigate an innovative automatic acoustic pressure measurement solution. The Doosan robot, equipped with a scanning camera and microphone, captures acoustic data and produces a map of the machine's acoustic radiation using computer vision algorithms. The measurement technique is accurate, efficient, and safe for workers. It can also be used for continuous monitoring of the industrial acoustic environment. The developed measurement method offers a promising way to automate acoustic measurement, which can be performed faster and with better ac.. Read More»