A hands-on guide to use network video recorders, internet protocol cameras, and deep learning models for dynamic monitoring of trout and salmon in small streams

This study outlines a method for using surveillance cameras and an algorithm that calls a deep learning model to generate video segments featuring salmon and trout in small streams. This automated process greatly reduces the need for human intervention in video surveillance. Further, a comprehensive guide is provided on setting up and configuring surveillance equipment, along with instructions on training a deep learning model tailored to specific requirements. Access to video data and knowledge about deep learning models makes monitoring of trout and salmon dynamic and hands-on, as the collected data can be used to train and further improve deep learning models. Hopefully, this setup will encourage fisheries managers to conduct more monitoring as the equipment is relatively cheap compared to customized solutions for fish monitoring. To make effective use of the data, natural markings of the camera captured fish can be used for individual identification. While the automated process grea..., Please refer to the article and the README file with the deposited data., , # A hands-on guide to use network video recorders, internet protocol cameras, and deep learning models for dynamic monitoring of trout and salmon in small streams

[https://doi.org/10.5061/dryad.v6wwpzh3g](https://doi.org/10.5061/dryad.v6wwpzh3g)

Konrad Karlsson

Department of Aquatic Resources, Institute of Freshwater Research, Swedish University of Agricultural Sciences, \
Stångholmsvägen 2, 178 93 Drottningholm, Sweden

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Below is a brief description of the .py and .R scripts, what the scripts do and the folder(s) they relate to. You will have to set the directory in the scripts in order to run them. There is a word file provided to make it easier to get Python, TensorFlow and ffmpeg installed on Windows 10: \
\"Install and run TensorFlow and ffmpeg on Windows 10.docx\".

**Important note:**

The Python scripts are an essential part of the study. The two R scripts, \"train model in R.R\" and \"split video files in R.R\", are similar to what is included in the Python scripts and may be ...