Intelligent immediately help system

In the world, more and more people need to be helped. People often donate money or goods to social welfare institutions. But it can take care of people is limited. And people who need help also can only help them by social welfare institutions. And related events such as corruption also emerge in endlessly. Let people love are overshadowed. According to the statistics, Global smartphone users will grow to 1.75 billion in 2014. It will continue to grow in the future. Therefore smartphone is an indispensable part of life. While most of social care related App are based on money or goods related function. The lack of identity recognition is to prevent the abuse of people love. Therefore, by smartphone immediacy, universal is not restricted by region. In this paper, we develop an “intelligent immediately help system”. In this system, we use image recognition technology, and use big data analytics way to complete identity identification and to increase the credibility of the case. Through the integration of GPS positioning and use 3D way to construct the helper's flow pattern. We design “Instant help machine” to help people instantly, which let people who is near can donated in “Instant help machine”. Members can use this system to login account and password to withdraw money or goods. It can immediately help who need help. “Intelligent immediately help system” also used mobile phone camera to the character recognition technology to read the receipt. Love correct help who need help. Finally, cases are in the cloud. It may be produce more privacy. In order to protect all the data in the cloud, we use cloud encrypted to prevent hacker intrusion.