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Item type:Item, Small gardening robot with decision-making watering system(2019-01-01)Tangtisanon, PikulkaewAt present, people who live in the countryside tend to move downtown in order to get jobs. As a consequence, only elders and children live in their hometowns with plenty of land left uncultivated. The aim of this research is to build cheap small gardening robots to help people grow plants in small yards as a hobby via a long-distance communication system. In this research, two robots composed of Raspberry Pi and ESP32 microcontrollers, which are low-price controller boards and convenient to buy within the country, were constructed. The robots can be controlled from long distances using Android smartphones. The capacities of the two robots with the two types of microcontroller are compared and discussed. To measure the soil moisture content, two types of moisture sensor, which are capacitive and resistive sensors, were implemented in this project. There are two main functions of the proposed model, which are weed cutting and watering plants. Moreover, a decision-making watering system was implemented and connected to moisture sensors and sprinkler controllers placed in the user’s garden. The robots were placed in the northern region of Thailand, while the user stayed in the central region and remotely controlled them with a smartphone for three months. The results show that the automatic watering system is better than a manual watering system since the plant growth rate for the automatic watering system was 20% higher than that for the manual watering system. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Real time human emotion monitoring based on bio-signals(2018-12-10)Tangtisanon, PikulkaewNowadays, medical technologies are rapidly improved leading to an increasing of life expectancy that caused ageing society problems. The most vital issue for elders is a health problem in both physical and mental aspect. This paper focuses on emotional monitoring and warning system using human Bio-signals in real time. The signals come from galvanic skin response and heart rate sensor that attached with a wristband wearing by the elders. The two signals are sent to a server as inputs, calculated using Fuzzy set variable model then return emotion and health status of the elder as outputs stored in the server. The proposed system is run based on ubiquitous computing so caretakers can monitor for the elder’s emotion in real time anywhere, any time. Moreover, the caretakers also get automatically alerts from the system in a case that the system returns an irregular health status of the elders. Experimental results show that the proposed system was run with a high accuracy rate.