scholarly journals Smart and efficient system for the detection of wrong cars parking

2021 ◽  
Vol 10 (4) ◽  
pp. 1968-1978
Author(s):  
A. H. M. Almawgani ◽  
Turki Alsuwian ◽  
Adam R. H. Alhawari ◽  
A. N. Alhuthari ◽  
M. A. Alhezabr ◽  
...  

This paper presents a smart and efficient car-parking detection system. The proposed system is comprised of two cameras connected to a mobile system that is devised with Arduino, four DC motors, and PIR sensor placed strategically to monitor parking space, especially within its painted rectangular lines of each parking lot. The mobile monitoring system is automatically responsive to any move they detected as vehicles within the parking space along the rows of parking lots. Once detected, the captured images are processed using the MATLAB software. Any improperly parked cars detected, the cameras will identify their plate numbers, and snap and record it in a database. The designed prototype of the proposed system was tested in five presumed cases. In each case, ten images were processed, thus 50 images were eventually obtained. Out of the 50 images, 48 images corresponded to correct detection whereas the other two images corresponded to wrong detection. Accordingly, the efficiency rate of the proposed smart car-parking monitoring system is 96%. This system offers suitable solution in assisting drivers to park properly within each parking lot and owners of parking area to keep it organized via remote monitoring system.

Author(s):  
Nguyen Trong Tuyen ◽  
Tran Trong Huu ◽  
Nguyen Mau Thach ◽  
Zafar M. Yuldashev

Continuous and steady running of health status remote monitoring systems is essential not to omit episodes of acute exacerbation of chronic disease. Running time of such systems is largely determined by performance capabilities of the patient's wearable system elements. To ensure its long-term operation and efficient performance, the monitoring system must have multilayered structure with the elements realizing recording and picking off biomedical signals, signal processing and analysis, estimation of patient current condition, dynamics of the disease and its prognosis. For this purpose, it is necessary to use smart monitoring algorithms. A specific feature of such algorithms is change of the number of channels used for biomedical signal recording and processing according to the change of patient’s condition. To detect the exacerbation first symptoms by means of the patient's wearable computer, additional channels are activated for recording biomedical signals used to evaluate the expanded complex of diagnostically significant parameters of the disease and their integration when specifying the patient's condition. The system and intelligent monitoring algorithm is tested with the use of heart rate remote control and atrial fibrillation episode detection system. The testing results of the developed system and algorithm are discussed.


2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.


2017 ◽  
Vol 24 (6) ◽  
pp. 2179-2190 ◽  
Author(s):  
Audace Manirabona ◽  
Lamia Chaari Fourati

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