Fin Finder and Vessel
We’ve developed our own software to analyse soundscapes, the sounds from marine animals and anthropogenic noise sources such as vessels. Developing our own software gives us the flexibility required for wide-ranging projects in ocean acoustics science.
FinFinder is a machine learning detection software that uses parallel computing to process raw acoustic files from any autonomous recorder, as well as real-time data acquisition systems and localisation arrays. The software incorporates detectors for a wide range of baleen whales and echolocating dolphins. It also has options for incorporating traditional detection methods that can be combined with the machine learning to increase performance. The software’s detection algorithms are greatly accelerated using GPU arrays and/or parallel computing on a string of computers.
Alongside FinFinder is the software Vessel. Vessel detects vessel noise in recordings, counts small-boat passbys and models vessel noise. Being a spin-off from FinFinder’s source code, Vessel shares the same capabilities in processing real-time data streams or archived audio.
We are a community of experts that specialise in the measurement, assessment and monitoring of underwater noise from biological, physical and anthropogenic noise sources
Our services include:
- Data analysis services for any data acquisition system (SoundTrap, IcListen, AMAR, HARP, Song Meter, Aural-M2, PORPOISE, CPOD, National Instruments and more). Whether only a few days of recordings or several years, continuous or duty-cycled, we can process your data so you can focus on the results!
- Advanced acoustic propagation modelling in all aquatic environments.
- Biological effects (such as injury/hearing loss, behavioural and auditory masking in marine mammals and fish) modelling from shipping, pile-driving, marine dredging, seismic surveys, drilling and renewable energy devices.
- Sound source verification surveys, including those required for ground-truthing acoustic propagation models.
- Passive acoustic monitoring of ambient soundscapes, including marine mammals, fish and anthropogenic noises.
- Soundscape analyses, including noise budgets.
- Marine mammal monitoring using acoustics.
- Automated detections of sound sources, including vessels, marine mammals, fish and construction activities.
- Sound-source localisation and tracking.
- Detection, classification and tracking of recreational and commercial vessels.
- Underwater noise assessments for environmental impact assessments/resource consent applications.
- Monitoring underwater machinery noise to assess on-going performance.
- Designing and performing scientific experiments to investigate underwater noise effects on marine mammals and fish.