Universal firefighter sensor for dangerous road tunnel environment

Bujňák, Marek; Pirník, Rastislav; Nemec, Dušan; Hruboš, Marián

doi:10.1016/j.trpro.2021.07.073

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…OLED (Organic Light-Emitting Diode) is a display technology utilizing organic compounds to emit light in response to an electric current. I2C OLEDs consist of a negative cathode, a positive anode, and a layer of organic material emitting light when a voltage is applied [17]. One notable advantage of OLED I2C is its requirement for very low voltage.…”

Section: Research Objectmentioning

confidence: 99%

IoT-based Heart Signal Processing System for Driver Drowsiness Detection

Yunidar,

Melinda,

Khairani

et al. 2023

Green Intell. Syst. Appl.

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Traffic accidents often result in loss of life and significant economic losses. Indonesia's high number of traffic accidents indicates the need for effective solutions to overcome this problem. Developing a drowsiness detection device is one effort that can be made to reduce accidents caused by drowsy drivers. The data obtained in this study used driver heart rate data. The drowsiness detection tool was developed using the Wemos D1 Pro Esp8266 microcontroller and MAX30102 sensor. Testing was carried out on 25 subjects under two conditions: 'Drowsy' and 'Normal.' The driver's level of drowsiness is determined based on the heart rate measured by the detection device. The Blynk application is used as a visual interface to provide notifications via smartphone if the driver is drowsy. The accuracy of the drowsiness detection tool was compared with the results obtained from the Pulse Oximeter. This research shows that the drowsiness detection tool using the Wemos D1 Pro Esp8266 microcontroller and MAX30102 sensor has an accuracy of around 98% when compared with the pulse oximeter. The Blynk application successfully sends notifications precisely when the driver is drowsy. This study highlights the potential of drowsiness detection devices to improve traffic safety and reduce accidents caused by drowsy drivers.

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Section: Research Objectmentioning

confidence: 99%

IoT-based Heart Signal Processing System for Driver Drowsiness Detection

Yunidar,

Melinda,

Khairani

et al. 2023

Green Intell. Syst. Appl.

View full text Add to dashboard Cite

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Spherical Robots for Special Purposes: A Review on Current Possibilities

Bujňák

Pirník

Rástočný

et al. 2022

Sensors

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The review discusses the possibilities of different driving mechanisms and sensors of spherical robots, and a special kind of mobile robots is introduced and discussed. The sensors discussed can expand robots’ sensing capabilities which are typically very limited. Most spherical robots have holonomic characteristics and protect the inner environment using a shell. Today, there are a diversity of driving mechanisms. Therefore, this article provides a review of all of them and identifies their basic properties. Accordingly, many spherical robots have only inner sensors for moving, balancing, driving, etc. However, a few of them are also equipped with sensors that can measure environmental properties. Therefore, in this paper, we propose the possibility of using such sensors as cameras, LiDARs, thermocouples, and gas sensors, which can be used for special purposes underground, for example, in mines, underground tunnels, or road tunnels. After combining all components are combined, it is possible to design a special type of spherical robot designed for underground exploration, such as accidents in mines or road tunnels.

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Universal firefighter sensor for dangerous road tunnel environment

Cited by 2 publications

References 2 publications

IoT-based Heart Signal Processing System for Driver Drowsiness Detection

IoT-based Heart Signal Processing System for Driver Drowsiness Detection

Spherical Robots for Special Purposes: A Review on Current Possibilities

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