Solar Cells Enable Fire Extinguishing Robot

Open Access

Year : 2023 | Volume : | : | Page : –
By

Akhil Kashyap

Amit Kumar

Anurag Sharma

Manan Kaushik

Neeraj Kumar

  1. Student Bharati Vidyapeeth’s College of Engineering Delhi India
  2. Student Bharati Vidyapeeth’s College of Engineering Delhi India
  3. Student Bharati Vidyapeeth’s College of Engineering Delhi India
  4. Student Bharati Vidyapeeth’s College of Engineering Delhi India
  5. Associate Professor Bharati Vidyapeeth’s College of Engineering Delhi India

Abstract

The fire extinguisher robot is intended to doze fires, provide sensor data in locations where human intervention is not safe. The bot utilizes data acquired from the sensors to transmit the data to a web application. Through this web application, firemen can monitor the situation. The bot is capable of navigating in an indoor setting. It can also be controlled by humans through the app—steer the bot and eject water to doze a fire. A total of five sensors are used—temperature, pressure, humidity, proximity and brightness. A solar cell is employed for powering the bot. Voice commands are supported, i.e. the bot can be made to move or stop via voice commands. Upon hearing ‘stop’, the bot stops, and hearing ‘go’, the bot would move.

Keywords: Robotics, machine learning, support vector machine, web application, Arduino, Arduino Nano 33 BLE Sense

How to cite this article: Akhil Kashyap, Amit Kumar, Anurag Sharma, Manan Kaushik, Neeraj Kumar. Solar Cells Enable Fire Extinguishing Robot. International Journal of Microelectronics and Digital Integrated Circuits. 2023; ():-.
How to cite this URL: Akhil Kashyap, Amit Kumar, Anurag Sharma, Manan Kaushik, Neeraj Kumar. Solar Cells Enable Fire Extinguishing Robot. International Journal of Microelectronics and Digital Integrated Circuits. 2023; ():-. Available from: https://journals.stmjournals.com/ijmdic/article=2023/view=90775

Full Text PDF Download

References

1. Abdul Waris Memon , Juan Du, Abdul Haleem Abro, et al. Design and Implementation of Fire Extinguisher Robot with Robotic Arm. Intelligent Robot Design and Control.2018;160.
2. Eloquent Arduino. Simone, Better Word Classification with Arduino Nano 33 BLE Sense and Machine Learning [Online]. Available from: https://eloquentarduino.github.io/2020/08/better-word-classification-with-arduino-33-ble-sense-and-machine-learning. (Accessed date: 16 October 2020)
3. Store (August 21, 2021) Arduino Nano 33 IOT [Online]. Available from: https://store.arduino.cc/usa/nano-33-iot.
4. B Siregar, H A Purba, S Efendi,et al. Fire Extinguisher Robot Using Ultrasonic Camera and Wi-Fi Network Controlled with Android Smartphone. 2017 IOP Conference Series: Materials Science & Engineering.2017; 1179: 180 012106. 5. V. V. Orinna Cortes, Vladimir Vapnik .Support Vector Networks. Machine Learning.1995; 20: 273–297. 6. T. K. Ho, Random Decision Forests. Proceedings of 3rd International Conference on Document Analysis and Recognition. . 14-16 Aug. 1995; Montreal, QC, Canada. USA: IEEE.2002.
7. Office of Energy Efficiency & Renewable Energy, Perovskite Solar Cells, [Online]. Available from: https://www.energy.gov/eere/solar/perovskite-solar-cells.
8. Britannica: High-Temperature Materials (2021) [online]. Available from https://www.britannica.com/technology/materials-science/Oil-platforms. 9. Techopedia: what Does Bit Rate Mean? (January 29, 2018) [Online]. Available from https://www.techopedia.com/definition/2681/bit-rate-br.
10. Setra: Baud rate (January 04, 2016) [Online].Available from: https://www.setra.com/blog/what-is-baud-rate-and-what-cable-length-is-required-1.


Open Access Article
Volume
Received July 26, 2021
Accepted August 10, 2021
Published January 10, 2023