 Good morning, good evening or good afternoon, whatever the case may be. My name's Andy Smith. I've been in the fishing industry for 45 years and I'm going to give a short presentation on my experience and our experience in New Zealand with use of cameras. Our tooth fish vessel, the Janus, has fished down in the Ross Sea in excess of 25 years. They have trialled an integrated scientific electronic monitoring system, SEM, over those years and the purpose of this trial was to investigate the system's suitability under anti-vect conditions, determined how much useful scientific data could be collected from the system and test software's reviewing capacity in the tooth fish fishery as well as run basic comparisons between the data recorded by the on-board observers and the data sets generated by the SEM review. The pilot study we did was very successful and recorded 100% of all gear deployments and retrievals during the vessels voyage. No major issues were encountered and several improvements are now planned that enhance the functionality of the system in this fishery. The system has since been utilised by companies in all fishing operations, both in camera fishery and in vessels domestic fishing. The setup on the vessel is important and of course it will vary for each type of vessel, draws way of cameras in different areas depending on what you are trying to achieve. The review software can be used by Saltwater or companies that have bought the camera system and it's very easy to review and test theories as well as pick out information on any benthost court or anything else that observers may have missed. What we're looking at here is a timeline of the whole trip. The green line indicates the vessel's speed. Where the line thickens out indicates the variability in the speed. In this case we had to slow down because there was too much ice around and the pink is the hauler pressure. The system is linked to both the batting machine and the hauler. We have a baseline constant pressure that fluctuates when they are hauling. The yellow line indicates pressure from the batting machine when long linings have been set or shooting. So from a reviewer's point of view we can actually see minute by minute what this vessel is doing and it's tracked by GPS. So in the top right hand corner of the slide you can actually see the track of the vessel, where it's been, and all that information is stored on a tamaproof hard drive. The setting and hauling patterns are easily identifiable using the SEM system and far exceed the detail recorded on traditional fisheries reporting forms. The system allowed the data reviewers to quickly identify the catch composition by taxonomic group and give an accurate fish count. The estimated scaled observer fish counts were technically lower than the SEM system results. Overall the observer's scale data represents only 80% of the tooth fish retained, 70% of the tooth fish tank, but overestimated fish loss. The SEM data review provided an excellent review mechanism for checking the tagged fish data and for only work using electronic catch length determination saw good results in confirming tagging of reports. The SEM technology and review software can be used effectively to collect scientific data especially in the tooth fish fishery including observing any benthic burial court. It created a mechanism to understand fishing activities not captured by existing data reporting and could be used to readily identify areas and data sets. The system would assist in reducing the observer's workload of retained tasks like line observations freeing them up to carry out more important scientific tasks and improving safety by removing risk involved and some of those observer tasks such as setting observations or working in extreme environmental conditions where the observer would be required to be out on the deck to observe. We recommend that comparisons be made between observer data and SEM data across vessels using various gear types to develop methods for improvement of the observer data. We are working together to develop the software capabilities through automation so that review can be made more efficient and thereby improve the quality of data. The use of AI in the future will be a huge step forward. The SEM technology and review software has been used successfully to verify tagging data in the tooth fishery. The fish in the picture was tagged and released of the first day of the 2017-18 season and usually swam south covering 607 km in just 42 days. This was a huge anomaly and questioned by many. EM data from both vessels showed it was the same fish. Another fish tagged by a vessel in the 2018-19 season at the beginning of the line was actually record on that same line five hours later. This was again verified by SEM. The system provides verifiable evidence to demonstrate that fishing, timelines or minor compliance breaches were all accidental. The biggest area of growth for saltwater have been pushing and adopting computer vision technologies where applicable. For the most part, this is useful in cases where accounting for discards of bycatchers sea is most important. In particular, the use of discards shoots on vessels and in processing facilities to identify and provide lengths of catch. Another is the development of web portals for co-operative fisheries where bycatch-related closures are an issue. By sharing anonymised info with the co-op vessels are able to avoid areas and to prevent early closing of those fisheries. It has been a way for us to help the stakeholders maintain a level of engagement and intelligent fishing understanding when, how and where fishing has been successful in order to fish more efficiently and more sustainably. I'd like to acknowledge the information provided here was provided by the crew and Tavies Limited in New Zealand and the system provided by Saltwater USA. Thanks very much. Bye.