Automated Panning To The Direction Of Sound Via Time Difference Of Arrival (Tdoa)

Localization via sound waves had been discovered to be already used by some animals for ages, a great example of this is the echolocation ability of bats. Humans also grasped such techniques and applied them to some technologies today such as the SONAR for underwater exploration. This study aims to have an automatic panning of the item mounted on the platform when an impulse is detected. The system would be able to identify the source of the sound in full revolution. It will utilize the gathered signal by the microphone sensors, and the data from the temperature sensor which is further processed (filtering) to have more stable and reliable data Results from the microphone array will apply to the algorithm of time difference of arrival (TDOA). The filtered reading from the temperature sensor will determine the speed of sound to be sound for identifying the direction of the sound. The whole system is made up of Arduino Mega (the brain), a sound sensor, a temperature sensor, and a servo motor for panning. After a thorough calibration, the final setup for this study was concluded to have the capability of localizing the dırection of the source having a performance of 50%-70% accuracy given that the tolerance is +15.