Large military installations and training complexes are difficult to secure because they consist of largely remote and/or unoccupied areas that are open to trespassers and contain numerous sites of localized high-value assets that are vulnerable to vandalism. An acoustic surveillance system that can recognize human activity and provide much needed intelligence information to security officers could help to secure these facilities. Advanced Acoustic Concepts (AAC) proposes a surveillance system that can process acoustic data at the sensor and determine the existence of speech or vehicle noise, and then send the data back to an operator to assess the threat. AAC will leverage a biologically-based acoustic classification technology and a power efficient signal processing architecture to provide a system that can meet the needs of large military complexes. The Phase 1 effort will focus on the proof of concept of the automated acoustic classification capability, and will include cost, power, and performance trade-off studies to determine the optimal system hardware and communications technology. AAC is well-positioned to execute this study due to numerous related past and present development efforts that can be leveraged.
Keywords: Acoustics, Acoustic Classification, Acoustic Sensor, Intrusion Detection, Speech Recognition, Surveillance, Perimeter Security
