WANDA®: AI Based Electronic Monitoring of Fisheries Operations
WANDA® is a new software that can identify which fish are being landed on board a vessel based on video from electronic monitoring.
The program uses advanced mathematical and computing techniques such as deep learning – a subset of AI (Artificial Intelligence) – to automatically detect and identify fish species.
WANDA® is the product of a CSIRO research collaboration between its Oceans and Atmosphere and the CSIRO Data61’s Imaging and Computer Vision Group, with the Australian Fisheries Management Authority (AFMA) providing imagery to train the new software.
CSIRO fisheries scientist Rich Little says the software has so far been trained to recognise several species, including Yellowfin Tuna, with about 85 per cent accuracy. But with access to more images to help train WANDA®, he anticipates this will increase to more than 90 per cent accuracy.
The development of WANDA® began in 2016 when CSIRO Oceans and Atmosphere fisheries scientists Rich Little, Geoff Tuck and Rob Campbell teamed with CSIRO Data61’s Dadong Wang to explore the potential of a machine-learning product for species identification in fisheries.
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