An Inexpensive 3D Camera System Based on a Completely Synchronized Stereo Camera, Open-Source Software, and a Raspberry Pi for Accurate Fish Size, Position, and Swimming Speed

Abstract

The visual underwater monitoring of fish size, position, and swimming speed is experiencing increasing interest in aquaculture and marine research. Despite the long-standing use of video monitoring, there is no methodological consensus, but numerous researchers and developers advocate for 3D video capture techniques to facilitate biometric estimations. Most of the previous systems, however, use partially synchronized cameras (within one frame), which causes an inherent error if observing moving fish in relation to the camera. This study proposes the use of a completely synchronized 3D camera system for underwater video capture, which can be calibrated, and which allows analyses to be performed using open-source software(s). We present data on the maximum theoretical error in the size estimation of swimming fish. This article presents a guide on how to build and set up the camera hardware and run the system, including a formal study investigating pre-measured lengths, and an informal study investigating the lengths of Atlantic cod (Gadus morhua).

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