scholarly journals Low cost audiovisual playback and recording triggered by radio frequency identification using Raspberry Pi

2014 ◽  
Author(s):  
Adam Z Lendvai ◽  
Çağlar Akçay ◽  
Talia Weiss ◽  
Mark F. Haussmann ◽  
Ignacio T Moore ◽  
...  
Keyword(s):  
Radio Frequency ◽  
Behavioral Ecology ◽  
Radio Frequency Identification ◽  
Visual Information ◽  
Low Cost ◽  
Raspberry Pi ◽  
Male Tree ◽  
Frequency Identification ◽  
Nestling Begging ◽  
Set Up

Carrying out playbacks of visual or audio stimuli to wild animals is a widely used experimental tool in behavioral ecology. In many cases, however, playback experiments are constrained by observer limitations such as the time observers can be present, or the accuracy of observation. These problems are particularly apparent when playbacks are triggered by specific events or are targeted to specific individuals. We developed a low-cost automated playback/recording system, using two field-deployable devices: radio-frequency identification (RFID) readers and Raspberry Pi micro-computers. This system detects a specific passive integrated transponder (PIT) tag attached to an individual, and subsequently plays back the stimuli, or records audio or visual information. To demonstrate the utility of this system, we tagged female and male tree swallows from two box-nesting populations with PIT tags and carried out playbacks of nestling begging calls every time females entered the nestbox over a six-hour period. We show that the RFID-Raspberry Pi system presents a versatile, low-cost, field-deployable system that can be adapted for many audio and visual playback purposes. The low cost and the small learning curve make this set-up a feasible system for use by field biologists.

scholarly journals Low cost audiovisual playback and recording triggered by radio frequency identification using Raspberry Pi

2014 ◽  
Author(s):  
Adam Z Lendvai ◽  
Çağlar Akçay ◽  
Talia Weiss ◽  
Mark F. Haussmann ◽  
Ignacio T Moore ◽  
...  
Keyword(s):  
Radio Frequency ◽  
Behavioral Ecology ◽  
Radio Frequency Identification ◽  
Visual Information ◽  
Low Cost ◽  
Raspberry Pi ◽  
Male Tree ◽  
Frequency Identification ◽  
Nestling Begging ◽  
Set Up

Carrying out playbacks of visual or audio stimuli to wild animals is a widely used experimental tool in behavioral ecology. In many cases, however, playback experiments are constrained by observer limitations such as the time observers can be present, or the accuracy of observation. These problems are particularly apparent when playbacks are triggered by specific events or are targeted to specific individuals. We developed a low-cost automated playback/recording system, using two field-deployable devices: radio-frequency identification (RFID) readers and Raspberry Pi micro-computers. This system detects a specific passive integrated transponder (PIT) tag attached to an individual, and subsequently plays back the stimuli, or records audio or visual information. To demonstrate the utility of this system, we tagged female and male tree swallows from two box-nesting populations with PIT tags and carried out playbacks of nestling begging calls every time females entered the nestbox over a six-hour period. We show that the RFID-Raspberry Pi system presents a versatile, low-cost, field-deployable system that can be adapted for many audio and visual playback purposes. The low cost and the small learning curve make this set-up a feasible system for use by field biologists.

scholarly journals Low cost audiovisual playback and recording triggered by radio frequency identification using Raspberry Pi

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e877 ◽  
Author(s):  
Ádám Z. Lendvai ◽  
Çağlar Akçay ◽  
Talia Weiss ◽  
Mark F. Haussmann ◽  
Ignacio T. Moore ◽  
...  
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Low Cost ◽  
Raspberry Pi ◽  
Frequency Identification

scholarly journals A Novel Printable Tag of M-Shaped Strips for Chipless Radio-Frequency Identification in IoT Applications

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2116
Author(s):  
Wazie M. Abdulkawi ◽  
Khaled Issa ◽  
Abdel-Fattah A. Sheta ◽  
Saleh A. Alshebeili
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Low Cost ◽  
Center Frequency ◽  
Spatial Density ◽  
Tag Identification ◽  
Horizontal Polarization ◽  
Iot Applications ◽  
Frequency Identification ◽  
Coding Capacity

There is a growing interest in chipless radio-frequency identification (RFID) technology for a number of Internet of things (IoT) applications. This is due to its advantages of being of low-cost, low-power, and fully printable. In addition, it enjoys ease of implementation. In this paper, we present a novel, compact, chipless radio-frequency identification (RFID) tag that can be read with either vertical or horizontal polarization within its frequency bandwidth. This increases the sturdiness and detection ability of the RFID system. In addition, the difference between the vertical and horizontal responses can be used for tag identification. The proposed tag uses strip length variations to double the coding capacity and thereby reduce the overall size by almost 50%. It has a coding capacity of 20 bits in the operating bandwidth 3 GHz–7.5 GHz, and its spatial density is approximately 11 bits/cm2. The proposed tag has a 4.44 bits/GHz spectral capacity, 2.44 bits/cm2/GHz encoding capacity, a spatial density at the center frequency of 358.33 bits/λ2, and an encoding capacity at the center frequency of 79.63 bits/λ2/GHz. A prototype is fabricated and experimentally tested at a distance of 10 cm from the RFID reader system. Then, we compare the measured results with the simulations. The simulated results are in reasonable agreement with the simulated ones.

Using Radio Frequency Identification for Indoor Location Identification Based on Power Level, Signal Strength and Fuzzy Method

2011 ◽  
Vol 15 (9) ◽  
pp. 1287-1298
Author(s):  
Rung-Ching Chen ◽  
◽  
Yu-Cheng Lin ◽  
Sheng-Ling Huang ◽  
Qiangfu Zhao
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Power Level ◽  
Academic Research ◽  
Signal Strength ◽  
Location Tracking ◽  
Position Location ◽  
Reference Tags ◽  
Frequency Identification ◽  
Set Up

In recent years, there has been a dramatic proliferation of research concerned with Radio Frequency Identification (RFID). RFID technologies are getting considerable attention not only from academic research but also from the applications for enterprise. One of the most important application issues prevailing throughout the last few decades of RFID application research is the indoor position location. Many researchers have used varied technologies to perform the action of indoor position location tracking. In our research, we propose a new method using RFID tags to perform indoor position location tracking. This method uses Received Signal Strength (RSS) to collect signal strengths from reference tags beforehand, and then uses the signal strengths to set up Power Level areas of range by reference tags. Next, using the signal strengths from the reference tags we match signal strengths with track tags. Finally, when the track tags are set up in indoor environments, they can find the position of neighboring reference tags by using the fuzzy set theory and an arithmetic mean to calculate the position location values; with this method we are able to break figures down to track tag position locations. We conducted this experiment to prove that our methodology can provide better accuracy than the LANDMARC system.

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