Snake pattern detection algorithm

• Main Author: Yeo, Eugene Han Wei
• Other Authors: Owen Noel Newton Fernando
• Format: Final Year Project
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: http://hdl.handle.net/10356/76971
• Institution: Nanyang Technological University

Snake bite have been serious health problem for a long time, in rural countries, especially in Africa. These countries lacks proper healthcare system, resources and medical officers to treat snake bites. To reduce snake bites and raise public awareness, SnakeAlert provides the public information on snakes and their locations through the use of crowdsourcing technique. The public can report a snake using SnakeAlert mobile application and the location will be shown to other users. Given the reported snake location, user can take preventive measures when travelling to these areas to prevent snake bite incidents. This project is a continuation of the SnakeAlert System. The objective of this project is to develop an Apple IOS mobile version of the SnakeAlert System and further improve on current SnakeAlert System. In addition, extend image recognition into the mobile application by implementing TensorFlow Lite into android and Apple IOS mobile application. The mobile application includes downloadable map which works offline and alert users when approaching reported snake locations.