Design Automatic Dispenser for Blind People based on Arduino Mega using DS18B20 Temperature Sensor

Fathoni, Ali Nur; Hudallah, Noor; Putri, Riana Defi Mahadji; Khotimah, Khusnul; Rijanto, Tri; Ma’arif, M.

doi:10.1109/icvee50212.2020.9243254

Cited by 12 publications

(12 citation statements)

References 6 publications

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“…The availability of many pins makes the Arduino Mega able to connect with many sensors, the variety of PWM and analog pins also makes it easy to connect Arduino to sensor modules according to needs, such as a temperature sensor (thermometer). By connecting the temperature sensor and Arduino Mega and then giving a conditional algorithm that can control the temperature using a heater, an automatic heating machine can be made (Fathoni et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

Microcontroller Based of Hydroponic Monitoring Environmental Condition

2022

Nusantara Science and Technology Proceedings

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Hydroponic has developed quite rapidly, we can find almost in every area, from village to metropolis. Hydroponic become a trend because easy to reimplement, easy to reuse, and easy to understand. Hydroponic doesn't need large area, because hydroponic using water as the main growing medium. Vegetables crops such as chilli, kale, lettuce, spinach, and basil are the type of commonly used in hydroponic. Hydroponic planting main focus is the process of providing nutrient solution as the main food source of plant. Nutrient solution in the form of nutrient A consist of calcium, potassium, nitrogen, and iron. In addition to nutrient A, there is one another called nutrient B. Nutrient B consist of potassium, nitrogen, phosphorus, magnesium, sulphur, manganese, Zn, Cu, Mo, and boron that plant need. Nutrient A and B are very to find in market. Nutrient monitoring in hydroponic system is very important, therefore it should be done periodically and need immediate action when found something odd. Some of equipment needed to monitor the are TDS meter, thermometer, and PH meter. This paper purpose microcontroller based which combine of many sensor needed and fusion it to one module with large display to monitor environmental condition of hydroponic system easily. System can display clearly about temperature, TDS, and also PH of water in hydroponic. Buzzer included to give a notification if something odd happened in the system.

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Section: Methodsmentioning

confidence: 99%

Microcontroller Based of Hydroponic Monitoring Environmental Condition

2022

Nusantara Science and Technology Proceedings

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“…Penyelesaian tentang permasalahan kebutuhan air minum telah dilakukan oleh beberapa penelitian sebelumnya, terutama pada pengembangan automatic water dispenser. Sebuah mesin yang dapat secara otomatis berhenti mengisi jika air pada gelas/ botol sudah hampir penuh [5]- [8]. Fathoni dkk.…”

Section: Pendahuluanunclassified

“…Fathoni dkk. [8] berfokus pada penggunaan mesin water dispenser bagi pengguna tuna netra. Sehingga pengguna tuna netra tidak perlu khawatir jika gelas atau botol terisi air hingga luber.…”

Section: Pendahuluanunclassified

Smart Water Dispenser Terintegrasi untuk Monitoring Konsumsi Air Minum Harian

Abadi

Saputra

Virginia

2021

mib

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Lack of water can cause serious health problems. In reality, some people do not know the amount of water they must drink daily. It's hard to find out the daily water intake needs because it is affected by a lot of things and it will be better to involve a nutritionist or health expert to get the best amount, which may require extra cost. To overcome these problems, it is necessary to have a system that is incorporated in an integrated system with the ability to calculate the ideal level of water needs for the body according to factors that affect the level of water needs and able to remind users to keep their daily needs. IoT-based smart water dispensers that can be integrated with android applications and cloud servers into a single system can be used to help solve these problems. The system has a knowledge base obtained from professionals to determine user water consumption. The system calculates the water consumption using the GPPAQ questioner and Estimated Energy Requirement (EER) formula. The base knowledge is implemented on Android applications, and this application can track the amount of water that has been consumed by the user. The test results show that the system can calculate the amount of water demand based on some factors such as the level of physical activity, age, and body weight. The water dispenser system has an accuracy of recording the amount of air released by 92.6%, so there is a difference in the calculation in the Android application to the amount of air that the user takes from the water dispenser

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“…The sensor has two available versions, one is simple, and another is designed to be waterproof, as illustrated in 2.13 [62]. A research [63] used this sensor in a design of an automatic water dispenser for blind people. DS18B20 was used to measure and control the water temperature of a dispenser by using an Arduino MCU board.…”

Section: Temperature and Humidity Sensorsmentioning

confidence: 99%

Building Appliances Energy Performance Assessment

Jasiunas

Ferreira

Cecílio

2021

Communications in Computer and Information Science

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Conjunto de dados de consumo de energia de eletrodomésticos: Os dados recolhidos podem ser usados para futura investigação científica sobre o consumo de consumo de energia, padrões de uso de energia pelos eletrodomésticos e classificação dos mesmos.Abordagem de computação na borda (Edge Computing): O sistema de monitorização proposto explora o paradigma de computação na borda, onde parte da computação de preparação de dados é executada na borda, libertando recursos da nuvem para cálculos essenciais e que necessitem de mais poder computacional.Classificação precisa de dispositivos em tempo real: Com a proposta desenhada nesta tese, podemos classificar os dispositivos com alta precisão, usando os dados recolhidos pelo sistema de monitorização desenvolvido na tese. A abordagem proposta consegue classificar os dispositivos, que são monitorizados, com baixas taxas de falsos positivos.Para fácil compreensão do trabalho desenvolvido nesta tese, de seguida descreve-se a organização do documento. O Capítulo 1 apresenta o problema do consumo de energia na União Europeia e discute o aumento do consumo da mesma. O capítulo apresenta também os principais objetivos e contribuições do trabalho.No Capítulo 2 revê-se o trabalho relacionado em termos de sistema de monitorização remota, que inclui sensores, microcontroladores, processamento e filtragem de sinal. Por fim, este capítulo revê os trabalhos existentes na literatura relacionados com o problema de classificação de dispositivos usando abordagens de machine learning.No Capítulo 3 discutem-se os requisitos do sistema e o projeto de arquitetura conceitual do sistema. Neste capítulo é proposta uma solução de hardware, bem como, o software e firmware necessários à sua operação. Os algoritmos de machine learning necessários à classificação são também discutidos, em termos de configurações necessárias e adequadas ao problema que queremos resolver nesta tese.O Capítulo 4 representa a implementação de um protótipo que servirá de prova de conceito dos mecanismos discutidos no Capítulo 3. Neste capítulo discute-se também a forma de integração do protótipo na plataforma SATO. Com base na implementação feita, no Capítulo 5 especificam-se um conjunto de testes funcionais que permitem avaliar o desempenho da solução proposta e discutem-se os resultados obtidos a partir desses testes. Por fim, o Capítulo 6 apresenta as conclusões e o trabalho futuro que poderá ser desenvolvido partindo da solução atual.

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Design Automatic Dispenser for Blind People based on Arduino Mega using DS18B20 Temperature Sensor

Cited by 12 publications

References 6 publications

Microcontroller Based of Hydroponic Monitoring Environmental Condition

Microcontroller Based of Hydroponic Monitoring Environmental Condition

Smart Water Dispenser Terintegrasi untuk Monitoring Konsumsi Air Minum Harian

Building Appliances Energy Performance Assessment

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