Studying sea scallop population dynamics
Scientists at the School of Marine Science and Technology (SMAST) work with industry partners to conduct independent surveys of scallop beds, primarily in closed areas of Georges Bank and the Mid-Atlantic. Scallops in images of the sea floor must be counted and measured. This work is time intensive and tedious for human reviewers alone.
CVision AI worked with SMAST researchers to design an automated workflow that boxed scallops in images automatically and used camera calibration data to compute scallop size. Deployed in Tator, reviewers can launch a scallop detection algorithm, then quickly and collaboratively move through image data to ensure 100% accuracy, rather than counting by hand.