A System for Notification of Road Accident, Fire and Injury Cases: Smart Emergency Notification System (SENS)

In this thesis, the system named Smart Emergency Notification System (SENS) is proposed for both the emergency responders and community. SENS detects the single/multiple emergency case(s), i.e. road accident, fire and injury, automatically from the image sent by a smartphone via Internet by the proposed promising approach that uses data mining and machine learning techniques with Cloud Vision API service of Google and afterwards, notifies police, fire brigade and/or ambulance. This system has three modules which are the mobile application SENSdroid, the Web application WebSENS and the software agent NotiSENS that uses the proposed approach. It is possible to say that this system would has positive effect on helping the harmed person, supporting the staff on duty, protecting the person who can be harmed and/or saving the nature. Additionally, this system would has high usability because of its easy-to-use features and high rates of smartphone and Internet users. It is believed that SENS could be an efficient and useful system. Keywords: Emergency Case Detection, Emergency Notification, Machine Learning, Data Mining, Mobile Application, Web Application, Agent, Cloud Vision API, Smart System.