Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/70330
Title: Mobile-based system for public health snakealert application
Authors: Ngo, Tan Quang
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2017
Abstract: This project is a continuous from the SnakeAlert System. The objective of this project is to extend functionalities to the system by implementing an image recognition service in order to recognize and identify types of snakes for the built system. The SnakeAlert system provided public users with several functions including alerting, preventing and giving First-aid information for each type of snake captured by users’ camera. The image recognition service provided the system with the ability to recognize the snakes’ types in short time and helps users and system admins to quickly get specific information regarding those snakes. It also prevents users from abusing the system by submitting irrelevant photos. The service was designed and implemented using Caffe framework and Python/ Flask. The SnakeAlert system will benefit users staying near forests or regions with snakes as well as medical officers in those regions.
URI: http://hdl.handle.net/10356/70330
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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