3D Printing Conformal K-band Lens Antenna for a Smart Parking Space Detection System

2020 ◽  
pp. 1-1
Author(s):  
Zhanghua Cai ◽  
Yantao Zhou ◽  
Zibin Weng ◽  
Lei Deng ◽  
Yunlong Luo ◽  
...  
Keyword(s):  
3D Printing ◽  
Detection System ◽  
Parking Space ◽  
Lens Antenna ◽  
Parking Space Detection ◽  
Smart Parking ◽  
K Band

scholarly journals Preprocessed Mask RCNN for Parking Space Detection in Smart Parking Systems

2020 ◽  
Vol 13 (6) ◽  
pp. 255-265
Author(s):  
Ahmad Naufal ◽  
◽  
Chastine Fatichah ◽  
Nanik Suciati ◽  
◽  
...  
Keyword(s):  
Input Image ◽  
Video Data ◽  
Parking Space ◽  
Exposure Fusion ◽  
Second Stage ◽  
Learning Techniques ◽  
Parking Lot ◽  
Parking Space Detection ◽  
Smart Parking ◽  
Fusion Framework

This research developed a smart parking system through video data analysis using deep learning techniques that automatically determine the availability of vacant parking spaces. This system has two main stages. The first is the stage of marking the parking position on the image of a parking lot captured by the camera. This research proposes a Preprocessed Region-based Convolutional Neural Network (Mask R-CNN) to mark the parking position on the input image of a full parking lot. The preprocess that combining contrast enhancement using the Exposure Fusion framework, aims to overcome the problem of lighting variations in images taken in an open area. In the second stage, each parking position is examined whether the position is vacant or not using mAlexNet. A series of trials on images with varying light conditions indicate that the Preprocessed Mask R-CNN can improve marking the parking positions with an accuracy of Intersection over Union (IoU) reach 85.80%. The result of marking the parking position is then used in the trial of the availability of parking space on video data using mAlexNet, and achieving an accuracy of 73.73%.

Parking Space Detection System Using Video Images

2015 ◽  
Vol 2537 (1) ◽  
pp. 137-147 ◽  
Author(s):  
Khaled Shaaban ◽  
Houweida Tounsi
Keyword(s):  
Detection System ◽  
Cost Savings ◽  
Weather Conditions ◽  
Video Camera ◽  
Parking Space ◽  
Image Histogram ◽  
Video Images ◽  
Fast Processing ◽  
Parking Space Detection ◽  
Novel Method

This study proposes a novel method for parking space detection. The proposed system is based on individual vehicle detection using grayscale images acquired from a video camera. Two algorithms were tested in the laboratory and the field. The first algorithm was based on the maximum value of the image histogram; the second algorithm was based on the bandwidth of the image histogram. The proposed algorithms successfully recognized vacant and occupied parking spaces under different scenarios and weather conditions. From the verification of the field study, the detection rate of the proposed system reached more than 98% for both algorithms. This system can be used for monitoring parking vacancy and guiding incoming motorists to vacant parking spaces in real time. The system has simple algorithms and easy configuration and does not require high-quality images. The latter feature means that less expensive cameras or existing surveillance cameras can easily be used instead of special cameras; thus huge cost savings are provided. The system also offers a fast processing time and easy applicability to parking lots in continuous operation.

scholarly journals Smart Parking Detection System using IOT

2020 ◽  
Vol 9 (5) ◽  
pp. 1261-1263
Keyword(s):  
Detection System ◽  
Residential Building ◽  
World Population ◽  
Parking Space ◽  
Infrared Sensors ◽  
Phone Number ◽  
Car Park ◽  
Smart Parking ◽  
Vehicle Production ◽  
New System

With the increase in vehicle production and world population, more and more parking spaces and facilities are required. In this paper a new parking system called Smart Parking detection System is proposed to assist drivers in a residential building or office where all the owners or employee will be allotted with a particular parking space to know the occupancy of the parking space if any wrong car is parked in their slot. The new system uses infrared sensors to detect either car park occupancy or improper parking actions. Features of smart parking detection system include detection of car occupancy in a parking slot , getting information of the parked vehicle if it doesn’t matches with the car number registered and notify the details of the car parked by sending message to a registered phone number. This paper also describes the use of a metal rack to protect the sensors from external damage.

scholarly journals Implementation of an Available Parking Space Detection System in Hectic Parking Lots

2021 ◽  
Vol 11 (04) ◽  
pp. 688-701
Author(s):  
Diana Laura Gómez-Ruíz ◽  
Daphne Espejel-García ◽  
Graciela Ramírez-Alonso ◽  
Vanessa Verónica Espejel-García ◽  
Alejandro Villalobos-Aragón
Keyword(s):  
Detection System ◽  
Parking Space ◽  
Parking Lots ◽  
Parking Space Detection

Additive technology applied to the realization of K-band microwave terminations: reproducibility improvement

2018 ◽  
Vol 10 (1) ◽  
pp. 3-8
Author(s):  
Azar Maalouf ◽  
Ronan Gingat ◽  
Vincent Laur
Keyword(s):  
3D Printing ◽  
Frequency Band ◽  
Rectangular Waveguide ◽  
Three Dimensional ◽  
Low Density ◽  
Support Material ◽  
Additive Technology ◽  
3D Printed ◽  
K Band

This study examines K-band rectangular waveguide terminations with three-dimensional (3D)-printed loads, and proposes an Asymmetrical Tapered Wedge topology. This geometry shows a good tradeoff between microwave performance and 3D-printing issues (printing directions and support material requirements), thus improving noticeably the reproducibility of the devices. The effect of the density of the 3D-printed load on the reflection parameter of the termination was investigated. Even for a low density, reflection level remained below −27.5 dB between 18 and 26.5 GHz. Reproducibility was demonstrated by the characterization of six loads that were 3D printed under the same conditions. Measurements demonstrate that a maximum reflection parameter level of −33.5 dB can be ensured over the whole frequency band without any post-machining of the 3D-printed devices.

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