scholarly journals IoT based Intelligent Car Security System using IRIS image features

2021 ◽  
Vol 1916 (1) ◽  
pp. 012195
Author(s):  
G Babu ◽  
M Soniya
2019 ◽  
Vol 1235 ◽  
pp. 012119
Author(s):  
R F Rahmat ◽  
M P Loi ◽  
S Faza ◽  
D Arisandi ◽  
R Budiarto

Author(s):  
Vikram Kulkarni ◽  
Viswaprakash Babu

In this proposed embedded car security system, FDS(Face Detection System) is used to detect the face of the driver and compare it with the predefined face. For example, in the night when the car’s owner is sleeping and someone theft the car then FDS obtains images by one tiny web camera which can be hidden easily in somewhere in the car. FDS compares the obtained image with the predefined images if the image doesn’t match, then the information is sent to the owner through MMS. So now owner can obtain the image of the thief in his mobile as well as he can trace the location through GPS. The location of the car as well as its speed can be displayed to the owner through SMS. So by using this system, owner can identify the thief image as well as the location of the car This system prototype is built on the base of one embedded platform in which one SoC named “SEP4020”(works at 100MHz) controls all the processes .Experimental results illuminate the validity of this car security system.


2017 ◽  
Vol 10 (40) ◽  
pp. 1-4
Author(s):  
Sayantam Sadhukhan ◽  
Aritra Acharyya ◽  
Rajendra Prasad ◽  
◽  
◽  
...  
Keyword(s):  

Author(s):  
Vivek Kumar Sehgal ◽  
Mudit Singhal ◽  
Bhart Mangla ◽  
Sudeep Singh ◽  
Shivangi Kulshrestha
Keyword(s):  

2019 ◽  
Vol 6 (3) ◽  
pp. 235
Author(s):  
Kuat Indartono ◽  
Abdul Jahir

<p class="Body">Jumlah pengguna kendaraan bermotor semakin tahun semakin meningkat. Laju peningkatan tindak kriminal terhadap pengguna kendaraan bermotor juga semakin meningkat. Peningkatan tindak kriminal sebanding dengan peningkatan pengguna kendaraan bermotor di Indonesia. Permasalahan tindak kriminal pencurian tersebut perlu diselesaikan salah satunya dengan membuat sistem keamanan kendaraan bermotor khususnya mobil. Penelitian ini bertujuan untuk mengurangi tindak kejahatan pencurian mobil dengan membuat prototype sistem keamanan mobil dengan memanfaatkan quick response code sebagai authentication access control berbasis android yang terintegrasi dengan arduino. Metode yang diterapkan pada penelitian ini dengan 2 tahap, yaitu tahap yang pertama membuat aplikasi berbasis android dan tahap kedua membuat perangkat sistem keamanan mobil. Hasil pengujian aplikasi android dengan menggunakan <em>black box testing</em> berhasil sesuai fungsional dan hasil pengujian perangkat dengan running test, perangkat dapat bekerja dengan normal. Penelitian ini berhasil membuat sistem keamanan mobil berbasis android dan arduino.</p><p class="Body"><em><strong>Abstract</strong></em></p><p><em>The number of motor vehicle users is increasing every year. The increasing rate of criminal acts against motor vehicle users is also increasing. The increase in criminal acts is proportional to the increase in motor vehicle users in Indonesia. The problem of criminal acts of theft needs to be solved one of them by making the motor vehicle security system, especially the car. This study aims to make a prototype of car security system by utilizing quick response code as authentication access control based on Android integrated with Arduino. The method applied in this study with 2 stages, namely the first stage to create Android-based applications and the second stage to make the device system car security. Test results in Android applications using black box testing succeeded in accordance with functional and test results with the device running test and durability, the device can work normally. This research succeeded in making prototype car security system based on Android and Arduino.</em></p><p class="Body"><strong><br /></strong></p>


Author(s):  
M. А. Protsenko ◽  
E. A. Pavelyeva

<p><strong>Abstract.</strong> In this article the new method for iris image features extraction based on phase congruency is proposed. Iris image key points are calculated using the convolutions with Hermite transform functions. At each key point the feature vector characterizing this key point is obtained based on the phase congruency method. Iris key point descriptor contains phase congruency values at points located on concentric circles around the key point. To compare the key points, Euclidean metric between the key points descriptors is calculated. The distance between the iris images is equal to the number of matched iris key points. The proposed method was tested using the images from CASIA−IrisV4−Interval database and the value of EER&amp;thinsp;=&amp;thinsp;0.226% was obtained.</p>


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