ACOUSTIC VECTOR SENSORS
ARES 3D Noise Monitoring System
ARES autonomously monitors environmental noise in a space-constrained package
For smart city fully autonomous noise monitoring applications, the ARES 100 IoT system is a 3D acoustic vector sensor (AVS) that discriminates noise event direction, housed in a compact weatherproof package. Unlike acoustic cameras or arrays, it can capture low frequency directional sound at a point without distributing sensing elements, or increasing sensor size.
ARES 100 senses sound using a triaxial accelerometer, by measuring the motion of a small parcel of air in response to a passing sound wave. A one or two ARES Node system can distinguish source bearing angles with an accuracy of 10 degrees, and resolution of 2 degrees.
The ARES IoT System is composed of the these key components:
(1 or more)
Raspberry Pi IoT Gateway
ARES App software for RPi, and ARES Dashboard running in a browser
ARES Nodes are IoT devices, capable of acoustic source detection and localization at the edge. Every ARES Node is synchronized to within 1 microsecond of GNSS time, so several ARES Nodes can collaborate in a monitoring session. Because of its inherent 3D sensing element, ARES beamformers are free from ghost images in the antenna pattern.
ARES Hub combines the Raspberry Pi Compute Module 4 (CM4) with an OnLogic carrier board, fanless enclosure, and CAN-FD serial bus connection to ARES Nodes.
ARES App software, preinstalled on every ARES Hub, orchestrates ARES Node measurements, provides external interfaces to AWS IoT cloud storage, and presents an open HTTP REST API for system integration with other software.
ARES IOT APP
ARES App is loaded with every ARES Hub as a C++/Python-based Linux software package that computes key measurement parameters, performs event triggering, saves intermediate results for playback in any measurement mode, and broadcasts to AWS cloud storage using MQTT protocol. After login, ARES Dashboard runs in a standard web browser, anywhere on the internet.
With ARES RTK, ARES Node includes a multi-band RTK GNSS module, the u-blox ZED-F9P. This enables two nodes (either a Beamformer pair or two single nodes connected by the CAN-bus) to very accurately measure the heading of a “rover” node relative to true north, thus allowing the detected azimuth and elevation bearings to be interpreted in geospatial coordinates. This is important when combining the bearing estimates from multiple nodes in localization algorithms, or whenever bearing data relative to the accelerometer reference frame must be related to external coordinates.
AIVS History in Brief
First U.S. Army contract to explore airborne acoustic vector sensing using accelerometers
Two-year, $1.1M Phase II SBIR contract to develop ARES sensor prototypes and algorithms
AIVS relocates to the CoMotion hardware laboratory at the University of Washington to work closely with the Applied Physics Laboratory on the core technology.
Field deployment of ARES monitoring systems begins.
AIVS INC is located on the campus of the University of Washington in Seattle, and staffed with an interdisciplinary team experienced in sensor development, rugged field instrumentation, and signal processing.
US ARMY RESEARCH LABORATORY
APPLIED PHYSICS LABORATORY - UNIVERSITY OF WASHINGTON
Board level embedded IoT hardware designer, experienced with hybrid SoC flexible logic implementations as well as firmware drivers. Mixed analog digital design background, sensor, and multi-platform (Linux, FreeRTOS) IoT device exposure is an advantage, as is C-programming skill in an ARM-64 architecture.