Fernando, Owen, Vijaykumar, Santosh, Meurzec, Rianne, Ngo, Tan Quang, Jayasundar, Karthikayen, Fernandopulle, Yohan and Wanniarachchi, Vajisha (2017) Snake Alert Application. In: Proceedings of the 2017 International Conference on Digital Health - DH '17. Association for Computing Machinery, New York, pp. 21-22. ISBN 978-1-4503-5249-9
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Abstract
In 2008, an estimated 90,000 lives were lost to snake bites, with India being the most devastated [1]. Governments and health agencies spend time and money trying to curb this, but frequently fail because of the dynamic nature of snake threats. Snake Alert is a public health communication application, aiming to provide users assistance in reporting and being notified of snake sightings. First, prevention of snake encounters, by crowd pooling information on snake sightings based on geographical location. Next, the application allows users to upload photos of snakes upon each sighting, and with image recognition, and identifies the respective snake species. Lastly, the application provides onsite instructional self-treatment with specific advice based snake type. This application can be used to save lives, and provide accurate & dynamic information to people living in remote parts of the world.
Item Type: | Book Section |
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Uncontrolled Keywords: | Public Health; Monitoring; User Submission; Image Recognition; Mobile-based System; Web Application |
Subjects: | G500 Information Systems G900 Others in Mathematical and Computing Sciences L900 Others in Social studies |
Department: | Faculties > Health and Life Sciences > Psychology |
Depositing User: | Becky Skoyles |
Date Deposited: | 09 Aug 2017 11:29 |
Last Modified: | 01 Aug 2021 05:33 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/31511 |
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