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.
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.
Ben Ripley, Dirksen Liu, Maiga Chang, and Kinshuk. (2013). Next Stop Recommender. In the Proceedings of 2013 International Joint Conference on Awareness Science and Technology and Ubi-Media Computing (iCAST-UMEDIA 2013), Aizuwakamatsu, Japan, November 2-4, 2013, 120-125.
Dirksen Liu and Maiga Chang. (2011). Next-Stop Recommendation to Travelers according to Their Sequential Wandering Behaviours. Journal of Internet Technology, 12(1), 171-179.
Dirksen Liu and Maiga Chang. (2009). Recommend Touring Routes to Travelers according to Their Sequential Wandering Behaviours. In the Proceedings of the 10th International Symposium on Pervasive Systems, Algorithms and Networks, (I-SPAN 2009), Kaohsiung, Taiwan, Dec. 14-16, 2009, 350-355.
Frequenty Asked Questions
Is it live object tracking process ?
No. We are getting video sourse file capture by web-cam. Then appliyng different approaches to get the desire result.
I do not have access to mobile data. Can I use this application?
No. You will not able to see web application to anaylse fish uuid and unable to track progress in Dashboard.
Does this application drain a lot of battery?
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.
Can I wipe out my existence?
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.
When wille the app detect my location?
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
Will the app store my location?
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.
Does the app detects my location in background?
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.
Can I configure the app to only detect my location while I am using it?
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.