■Date：21st November, 2017
■Venue：Ho Chi Mihn City, Vietnam
Thanks everyone who applied GR DESIGN CONTEST 2017.
After careful consideration,
prize winners are listed below.
The robot will have three main features: it can locate its position and run across the building, it will gather sensor data from the area that it passes through, and it is able to process that data and send only crucial or abnormal information to the cloud which can only be accessed by the administrator.
We need to maintain the elevator over the time. And maintenance needs people. And people need money. We have to pay for them. But there is a trouble that is WHEN? When we need to maintain? If we maintain the elevator each day, yeah, wonderful! We’ll be safe. But that’ll be a big trouble with money. How do we know exactly when the elevator, or more specific, things need to be maintain? We have solution for that problem: USING IoT TO MONITOR AND TRACK.
This project aim to research, design and fabricate a rainfall forecast system based on a wireless sensor network. The environment information is collected from several sensor nodes and then be sent to the base station via LoRa connection. With the help of fuzzy logic, we can predict rainfall possibility at some places.
Remote patient monitoring (RPM) is technology to monitor patient outside of conventional clinical settings, e.g. at home. It allows patients to maintain independence, and minimize personal costs. The purpose of our solution is to provide a general solution to achieve RPM. At the same time, it also has alert function, and family members can provide support if a problem arises.
The Smart Greenhouse Control System hopes to design a platform for indoor agriculture solutions of controlled environment with optimum and sustainable cultivation conditions to ensure stable and sustainable production of quality crops as well as to better utilize the limitation resources with the advancement in semiconductor technology.