Meghan Carnevale, Author at Marine Acoustics, Inc.

Security/Information Technology Assistant

MAI SUCCESSFULLY COMPLETES FIRST DEPLOYMENT AS PART OF THE BOEM LONG-TERM PASSIVE ACOUSTIC MONITORING PROJECT

MAI Continues Collaborative Development with JAIA Robotics

MAI Aids in Environmentally Responsible Offshore Development

MAI’s Dr. William Ellison and Dr. Jennifer Amaral collaborated with a group of expert scientists to develop a broadly applicable, transparent, repeatable analytical framework for assessing relative risk of anthropogenic activities on marine species, with an emphasis on the noise aspects of the activity. Drs. Ellison and Amaral contributed heavily to the conceptualization and development of a modular framework for assessing relative risk to marine species based on an understanding of the spatial-temporal-spectral intersections of animals and anthropogenic activities. Though created for use by both industry developers and government agencies to assist in minimizing environmental impacts during the installation of offshore windfarms, the risk assessment technique can be applied to the planning of any anthropogenic activity in the marine environment. This work was supported by the Bureau of Ocean Energy Management (BOEM).

Avoiding Active Acoustic Impact On Marine Mammals Using Autonomous Detection And Classification Technology

In-Depth Engineering Corporation (IEC), teamed with Marine Acoustics, Incorporated (MAI), L3Harris Corporation (L3), and QorTek, Incorporated will provide a low-cost, and compact active and passive acoustic marine mammal detection and classification capability for the Deep Water Active (DWA) component of the Deployable Surveillance System (DSS). This research effort pairs MAI ‘s subject matter expertise on sonar mitigation system design, marine mammal population dynamics, and vocal behavior ecology with IEC, L3, and OorTek’s proven technical capabilities in developing novel active and passive sonar systems.… Read the rest

MAI supporting AI/ML development for U. S. Navy Sonars

MAI is working with MIT:LL to aid in the development of AI/ML capabilities for a range of U.S. Navy acoustic sensors. This effort continues MAI collaboration with industry partners on the development of groundbreaking technologies.… Read the rest

MAI awarded SBIR Phase I funding for the initial development of a Virtualized portable expeditionary AN/UYQ-100 USW-DSS Unit for Training

MAI was recently awarded SBIR (N231-044) for phase one work in which MAI will team with CAE to create a portable, virtualized expeditionary AN/UYQ-100 USW-DSS unit that will integrate with the Navy’s Consolidated Afloat Network Enterprise Services (CANES) while also providing a stand-alone capability for real world and training tactical scenarios. This effort pairs MAI and CAE’s ASW and ASUW expertise with CAE’s technical capabilities, which includes, modeling and simulation, gamification, virtual reality development, mixed reality development, software development, hardware development, and database management will result in a powerful tool that will enhance the Navy’s tactical decision makers ability to employ assets.… Read the rest

Revolutionizing Environmental Monitoring: MAI and JAIA Robotics Collaborate to Develop Human-Portable UUV for Advanced Acoustic Measurements in Marine Projects

Marine Acoustics, Inc. (MAI) has entered a collaboration with Jaia Robotics, Inc., a leader in low-cost, micro-sized autonomous marine vehicles, to develop a human portable UUV capable of calibrated passive acoustic measurements throughout the water depth column of common interest for environmental monitoring of marine projects.

The acoustic monitoring vehicles that Jaia Robotics will produce provide a versatile tool for obtaining aquatic acoustic measurements at multiple sample sites over a short period of time. This capability aids in the sustainable development of ocean-based renewable energy and the responsible development and use of the marine environment.… Read the rest

MAI secures 5-year, $19.5M contract to expand technical support for ONR’s cutting-edge naval research initiatives

In November of 2022, MAI successfully won the 5 -year re-compete for the Office of Naval Research (ONR) Code 32 SETA Support contract. This has been an ever-evolving, multi-contract effort spanning nearly the past two decades and supporting a wide range of business & analytical services. This new contract, valued at $19.5M, increases the scope and range of technical support MAI provides to ONR in the areas of Maritime Sensing, Acoustic Transduction, Undersea Remote Sensing, Fundamental Research Portfolio Management, and Ocean Battlespace and Expeditionary Access Department support.… Read the rest

MAI awarded SBIR Phase I funding for the initial development of an Intelligent Assistance for Anti-Submarine Warfare

MAI has been awarded a six-month Phase I SBIR for $140,000 to develop a feasibility study for an Intelligent Assistant for Anti-Submarine Warfare. Along with our new partners at Clarifai, we will be creating the SONAR Engagement Naval Systems Enhancing Intelligence (SENSEI) utilizing AI to bring together environmental information from the on-board tactical decision aid (TDA), in-situ, real-time assessment of the environment, and machine-learning algorithms to provide operators situational awareness regarding key parameters such as primary propagation path(s), bearing-dependent complications (such as sea mounts that might obscure threats), significant topology features into which a threat might retreat to minimize detection, best tactical waveforms, and situational best practices to enable operators to maximize the potential of the tactical sonar suite for the specific conditions present at that time and location. SENSEI will have a significant analysis component but will also have a direct interface with the operator through additional display elements. In addition to realizing performance gains of at least 25% on active sonar detection, active sonar classification, active sonar tracking and end-to-end metrics relative to naïve employment of the system, this will enhance affordability by reducing the training time needed to realize a given level of operational performance. Read More… Read the rest