Druken alcohol intelligent detection system IoT based Arduino controller

Nordin, Siti Aminah; Yusoff, Zakiah Mohd; Mohammad, Nurul Nadia

doi:10.11591/ijeecs.v29.i3.pp1310-1317

Cited by 4 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The developed tool consists of a light sensor made of LED, a photodiode sensor, an Arduino Uno data processor, and a display. The authors want to create an electronic blood group detection device utilizing a microcontroller based on the concerns mentioned above, which is a development of reading a blood group sample using sensors [27], [28] and the Arduino Uno circuit [29], [30]. This instrument reads and determines blood type using automatic blood group reading.…”

Section: Introductionmentioning

confidence: 99%

Human blood group type detection prototype focusing on agglutinin using microcontroller based photodiode

Lubis,

Harefa,

Al-Khowarizmi

et al. 2024

Bulletin EEI

View full text Add to dashboard Cite

Blood is a fluid in the body that mainly serves as a medium for transporting various substances in the body. Detection of human blood group types with this microcontroller utilizes dark and light properties. The dark character appears due to agglomeration, while the light nature arises because of no agglomeration, for this to happen, a liquid reagent is needed. Administration of this liquid uses the aviator's breathing oxygen (ABO) system, which consists of reagent a, reagent b, and reagent c and mixing it with blood on the test paper. The number of blood samples in each reagent is based on blood lancet. Furthermore, the sensors used to detect these properties are photodiode and light emitting diode (LED) each of 3 pieces. The Arduino Uno is used to process sensor input while at the same time producing displayed human blood group type on the display screen. The test is carried out involving 12 blood samples and a medical officer. Medical officer are tasked reading directly the results of mixing between reagents and blood samples, after that are compared with the system. The results show that the deviation of the system reading is 0.167 for the sensor reading distance with the sample as far as 0.5 cm.

show abstract

Section: Introductionmentioning

confidence: 99%

Human blood group type detection prototype focusing on agglutinin using microcontroller based photodiode

Lubis,

Harefa,

Al-Khowarizmi

et al. 2024

Bulletin EEI

View full text Add to dashboard Cite

show abstract

“…IoT is not only about a single technology, but it is a mixture of different hardware and software technologies. Up to date, there are several research works that fully utilized the IoT technology to enhance different system as in [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

Internet of things-based garbage monitoring system integrated with Telegram

Nur Syuhada Ahmad Tarmizi,

Nur Shaadah Nik Dzulkefli,

Abdullah

et al. 2023

IJEECS

View full text Add to dashboard Cite

<p>This paper presents the development of smart garbage monitoring system usin g internet of things (IoT) to keep the environment clean thus reducing cleaners’ burden. The present era is characterized by smart cities, where precision and organization are the norm. This initiative was launched because population is progressing rapidly, increasing more garbage hence esclating cleaner’s frequency of dustbin checking daily whether the dustbin is full or not which mean more labour costs. The main purpose of this researc h is to develop a systematic garbage monitoring system which can help cleaners schedule their work in monitoring and picking up garbage from dustbins. It used node microcontroller (NodeMCU) ESP8266 Wi - Fi module as the main controller to control ultrasonic and rain input sensors and provide notifications via Telegram. A limit switch is used to detect whether the lid is open or closed. When the lid is closed, the ultrasonic sensor is activated and measures the garbage distance depending on the amount. If an overrun of the maximum amount is detected, the red - light emitting diode (LED) will turn on that connects to the Wi - Fi module, which sends notification to the cleaners. As a result, the IoT based garbage monitoring system was fully functioned and accomplish ed its objectives.</p>

show abstract