Detection of Duplicate using eNose and Sensor

  • Soumya Debashis Das
Keywords: PIR Sensor, Heartbeat Sensor, Electronic Nose, Microcontroller

Abstract

Here in this topic, I am basically concerned about the problems and worries which occur during any function or parties relating to the number of plates used by the guests. This idea tries to minimize the amount of manpower or technologies used to check this habit at the event. Here in this project, I am using a pre-designed PIR Sensor with Electronic Nose and on-field Heartbeat Sensor. The PIR Sensor used here will sense the presence or arrival of a person near or in front of it through the change in temperature. The Electronic Nose attached with it will detect the odor or smell of the person coming near to it. It will be followed by a memory which will be linked to the gadget that keeps a record of all the odors sensed by it. If there will be any duplicate, then a buzzer will ring which will be the first indication for the user operating that this person is going to use the plate more than once. Then in the next level, on the plate’s desk, there will be a sensor attached which keeps the track of the Heart Beat of the person touching it. If the heartbeat is unusual, then the second and final indicator buzzer will ring which will assure that the person is intentionally using the plate multiple number of times. By this way, the organizer can efficiently use this technology in detecting such problem with minimum resources. This project can also be extended to several other detection strategies which involve human intervention.

References

[1] Julian W. Gardner, Vijay K. Varadan, Osama O. Awadelkarim, “Microsensors, MEMS, and Smart Devices”
[2] Z. Berna,, Alisha R. Anderson, Stephen C. Trowell, “Bio-Benchmarking of Electronic Nose SensorsAmalia”
[3] Setyowati, Jodelin Muninggar and Made R. S Shanti.N.A, “Design of heart rate monitor based on piezoelectric sensor using an ArduinoVeni”
[4] Bandana Mallick, Ajit Kumar Patro, “Heart Rate Monitoring System Using Finger Tip Through Arduino And Processing Software”
[5] Ning Zhao, Fangmin Li, Sheng Wang, “Pyroelectric Infrared Sensors for Human Identification Using Non-negative Matrix Factorization and BP Neural Network”
Published
2018-04-15
How to Cite
Das, S. D. (2018, April 15). Detection of Duplicate using eNose and Sensor. ASIAN JOURNAL FOR CONVERGENCE IN TECHNOLOGY (AJCT ) -UGC LISTED, 4(I). https://doi.org/https://doi.org/10.33130/asian%20journals.v4iI.459
Section
Electrical & Electronics Engineering