Adaptive Ecological Farming: Fish Recognition and Tracking



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About the Project

This system is designed for detecting and tracking each fish from the collected web-cam data and establishing the relationship among the trending, situations, and controllable parameters.

Also comparing and showing the Movement patterns of the fishes. User can change detected fish id on server and will assign correct uuid. Later, that will help to build model with high accuracy to assign fish id.

DashBoard is monitoring How many videos are extracted from web-cam, Total length of video, Finding Bounding Boxes from how many extracted frames, Assigning uuid on extracted frames.

About Us

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Dr. Maiga Chang
Supervisor

Dr. Maiga Chang is a Full Professor in the School of Computing and Information Systems at Athabasca University, Canada.

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Dr. Nian-Shing Chen
Advisor

National Yunlin University of Science and Technology, Taiwan

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Our Mission
Current Member

The goal is to worked with ecological farming facility in Australia. The facility includes all kinds of Internet of Things (IoT) sensors and webcam to collect data for analysis purpose. This research includes the tasks of finding the trends via data analysis; identifying, recognizing and tracking objects from the collected data.

Our Team

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Ishika Tailor
Current Member

Ishika Tailor
is an undergraduate student of Information Technology from L.D. College of engineering, India (2018-2022)

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User
Current Member

User
is an undergraduate student of Computer Science from PES Institute of Technology, India (2018-2022)

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User
Current Member

User
is an undergraduate student of Computer Science from PES Institute of Technology, India (2018-2022)

Frequenty Asked Questions

  • No. We are getting video sourse file capture by web-cam. Then appliyng different approaches to get the desire result.

  • No. You will not able to see web application to anaylse fish uuid and unable to track progress in Dashboard.

  • The app has two options for collecting users data, (1) Detecting user's location only when the app is open and (2) Detecting the user's location in the background. Users have an options to change this settings in the profile page. Moreover, even if the app is allowed to work in background, the app will not cdetect the device's location if the user's battery is below a critical level.

  • Yes, Users have an option to wipe out their existence from Profile page, all the data saved in the local device and server will be wiped out.

  • The app has two options for collecting users data, (1) Detecting user's location only when the app is open and (2) Detecting the user's location in the background. Users have an options to change this settings in the profile page

  • The app will never store your location in any form. We use the location coordinates to get Point of Interest, which will be stored locally and in server encrypted form, so we don't know what POI the users have been before.

  • The app will detect the location in background if user has given the permission in profile page. This permission can be revoked by user at any point of time by turning it off in the settings page.

  • Yes, you can configure it in the profile page. Turning off background usage would mean the app will be able to detect location only when user is using it.