Metamaterial-based acoustic camera enhancements

Abstract

Acoustic cameras are a common approach to solving the challenge of sound localisation in non-destructive testing. The required microphone arrays, however, are often cumbersome: a large number of sensors is needed to achieve the required accuracy and their mutual distances need to be maximized to increase spatial resolution. Current acoustic cameras are not easily portable. In this work, we explore whether acoustic metamaterials can be used to create compact acoustic cameras, complete of autozoom objectives. We present our proof-of-concept prototype, comprising 8 MEMS microphones, using beamforming algorithms now sufficiently simple to run on a Raspberry Pi. We discuss how the performance changes when passing from a single lens to a two-lenses objective. Finally, we highlight the perspectives, the limitations and some key user scenarios for this approach.