Enhancing Coastal Fisheries Data Collection with AI Assistance
"Discover how AI technology is revolutionizing the collection of coastal fisheries catch data through image analysis, eliminating the need for taxonomic expertise in the field. With automated calibration and measurement tools, accurate data can be collected efficiently for fish detection and weight readings. Explore the benefits of utilizing standard mats and boards for AI calibration and learn how measured data can be obtained from calibrated images for various aquatic species."
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Presentation Transcript
Collecting data using pictures Pictures are collected faster at the market/landing You can use camera or e-Reporting applications (Ikasavea, TAILS)
Collecting data using pictures No taxonomic expertise needed in the field Analysed pictures can be re-analysed or checked at later time if any doubt on taxonomy or measurement
AI assistance for the analysis of pictures Manual analysis of pictures can be tedious but is simplified with assistance of Artificial Intelligence for calibration, measurements and species identification In this example species is determined, weight read automatically from the scale and length measured form the image
Standard mats & boards for AI calibration Standard boards & mats are automatically calibrated so that measurements can be done directly from the image Fork length
Standard mats & boards for calibration SPC Mat 1 Pathway 12x8 SPC Board SPC Mat 2
Measurements from calibrated pictures Once an image has been calibrated, measurements can be performed from the image as straight lines or along path. Multiple measurements can be done (for example carapace length and width for crabs). A coin can be used to get a more accurate measurement for inverts.
Fish detection and measurement Detected snout Detected fork Fishes are detected from the calibrated mat, then rotated and/or flipped to standardize the picture Snout and fork are detected for fish measurement
Reading weight from scale Reading digits 0. 6 0 0 For measuring board photos, scale is detected and digits read from detected scale picture. Multiple scale models are detected automatically
Automated species identification For common species an ID is suggested by the AI with a level of confidence. New pictures, once validated by the science team, are reinjected into the model for continuous improvement.
Automated species identification Current species identification models are based on ~240 common commercial fishes from several countries. With the introduction of new countries and community catch, the range of species will more than double. Collaboration with projects such as ANCORS Pathways will improve the required baseline to extend the models to the many landed species in the Pacific region.
Invertebrate pictures analysis (in progress) As more pictures are acquired, we work on several models to automate the analysis of invertebrates (counting, measuring and identifying species).
Invertebrate pictures analysis (in progress) Detection of carapace length and total length from lobster picture
