Chapter 2
RFID System Physical Anti-Collision
Experimental Verification
Radio-frequency identification (RFID) systems are widely used because of their
accurate identifications, large amount of information storages, and low costs. At
the same time, the use of multi-tag is also more and more universal. The function
of RFID tag is similar to the barcode, but RFID tag has more advantages in many
applications: RFID tags have tiny communication and computation power, among
them can tagged objects intelligent to some extent [1]. Some tags because of their
small size, ruggedness, and other advantages can be applied to the irregular surface
to achieve the purpose of detection [2].
The sensitivity of the tag has a significant impact on the performance of the tag, and
it cannot be ignored. The sensitivity of the tag-related research is also carried out in
varying degrees. Wang proposed for handheld radio-frequency identification (RFID)
reader which can effectively improve the sensitivity of the reader [3]. Petrariu used
a longer reading distance to obtain an additional antenna RFID chip, which provides
a reading sensitivity of –20.5 dBm [4]. Boaventura proposed the measurement of
sensitivity improvement in passive RFID chips when interrogated by a custom-built
RFID reader with improved powering waveforms [5]. The research on the sensitivity
of single tag has been studied in different degrees and different aspects, but the
research on the sensitivity of the tags group has not progressed much.
In this paper, the image matching technique is used to locate the tags and find out
the influence of the relative position of the tags on the sensitivity of the tag group. In
this paper, SIFT algorithm, SURF algorithm, and ORB algorithm are, respectively,
used for image matching test. Three algorithms are compared and analyzed, respectively, from the execution time of the algorithm, the number of feature points and
the number of correct matching points, and the SURF algorithm most suitable for
image feature matching is selected. Then the algorithm is used to locate the key tags
in the tag group.
The performance of RFID tags can be obtained from many aspects, sensitivity
is one of its important applications. This paper is mainly divided into two parts.
The first part is the experimental study of RFID tag group performance detection,
and the second part is the study of tag distribution based on image matching. In
© Science Press 2021
X. Yu et al., Physical Anti-Collision in RFID Systems,
https://doi.org/10.1007/978-981-16-0835-3_2
29
RFID System Physical Anti-Collision
Experimental Verification
Radio-frequency identification (RFID) systems are widely used because of their
accurate identifications, large amount of information storages, and low costs. At
the same time, the use of multi-tag is also more and more universal. The function
of RFID tag is similar to the barcode, but RFID tag has more advantages in many
applications: RFID tags have tiny communication and computation power, among
them can tagged objects intelligent to some extent [1]. Some tags because of their
small size, ruggedness, and other advantages can be applied to the irregular surface
to achieve the purpose of detection [2].
The sensitivity of the tag has a significant impact on the performance of the tag, and
it cannot be ignored. The sensitivity of the tag-related research is also carried out in
varying degrees. Wang proposed for handheld radio-frequency identification (RFID)
reader which can effectively improve the sensitivity of the reader [3]. Petrariu used
a longer reading distance to obtain an additional antenna RFID chip, which provides
a reading sensitivity of –20.5 dBm [4]. Boaventura proposed the measurement of
sensitivity improvement in passive RFID chips when interrogated by a custom-built
RFID reader with improved powering waveforms [5]. The research on the sensitivity
of single tag has been studied in different degrees and different aspects, but the
research on the sensitivity of the tags group has not progressed much.
In this paper, the image matching technique is used to locate the tags and find out
the influence of the relative position of the tags on the sensitivity of the tag group. In
this paper, SIFT algorithm, SURF algorithm, and ORB algorithm are, respectively,
used for image matching test. Three algorithms are compared and analyzed, respectively, from the execution time of the algorithm, the number of feature points and
the number of correct matching points, and the SURF algorithm most suitable for
image feature matching is selected. Then the algorithm is used to locate the key tags
in the tag group.
The performance of RFID tags can be obtained from many aspects, sensitivity
is one of its important applications. This paper is mainly divided into two parts.
The first part is the experimental study of RFID tag group performance detection,
and the second part is the study of tag distribution based on image matching. In
© Science Press 2021
X. Yu et al., Physical Anti-Collision in RFID Systems,
https://doi.org/10.1007/978-981-16-0835-3_2
29