scholarly journals Automatic Parking System Based on Improved Neural Network Algorithm and Intelligent Image Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yucheng Guo ◽  
Hongtao Shi

This research designs an intelligent parking system including service application layer, perception layer, data analysis layer, and management layer. The network system adopts opm15 system, and the parking space recognition adopts improved convolution neural networks (CNNs) algorithm and image recognition technology. Firstly, the parking space is occupied and located, and the shortest path (Dynamic Programming, DP) is selected. In order to describe the path algorithm, the parking system model is established. Aiming at the problems of DP low power and adjacent path interference in the path detection system, a method of combining interference elimination technology with enhanced detector technology is proposed to effectively eliminate the interference path signal and improve the performance of the intelligent parking system. In order to verify whether the CNNs system designed in this study has advantages, the simulation experiments of CNNs, ZigBee, and manual parking are carried out. The results show that the parking system designed in this study can control the parking error, has smaller parking error than ZigBee, and has more than 25.64% less parking time than ZigBee, and more than 34.83% less time than manual parking. In terms of parking energy consumption, when there are less free parking spaces, CNNs have lower energy consumption.

2021 ◽  
Vol 17 (3) ◽  
Author(s):  
Aaron Abel ◽  
Suci Aulia ◽  
Dadan Nur Ramadhan ◽  
Sugondo Hadiyoso

An automatic parking system has been proposed to make the car parking process more efficient in terms of time and cost. The absence of information on the position of the parking lot makes the car driver take longer to find it. In multi-story parking lots, officers cannot constantly monitor the available parking conditions directly, so prospective parking users do not know the position of the open parking space. In addition, many parking lots use automatic door latch, but no parking space information display. Parking system automation can be based on hardware, software, or a combination of hardware and software. To the best of our knowledge, no software-based framework is entirely used on this system. Therefore, this study proposes an automatic parking system based on camera sensors and software, which is combined into an information system. The proposed method uses simple morphological operations. Based on the test results, the detection accuracy achieved is 100% with a light intensity of 3 lux, 15 lux, 30 lux, 60 lux, 120 lux, and 250 lux. The average processing time is 1.59 seconds. From this study, it is hoped that this prototype can be tested on relevant environmental conditions so that the prototype can be implemented in parking lots.


Author(s):  
Sunil Chouhan ◽  
Sandhya P

In the current era, we are facing a new problem of parking of vehicles. It is a major problem in urban cities. The problem is more tough because of continues growing number of vehicle and also size of vehicles. Car parking is not just a major problem in India but also in all over the world. We know that one million vehicles burn oil every day. In this paper, we propose an automatic and real-time system for automated car parking. This system would be implemented by the use of internet of things (IOTs). IOT refers as any physical thing that is connected to internet or exchanging information or data between internet and physical device. Arduino Uno is a microcontroller used in IOT. It is used for building digital devices, and interactive objects that can sense and control physical devices. Our smart parking will be implementing using Arduino Uno board for car parking and Ethernet shield to connect parking area with web or internet. By using our automated parking system, a user can save much time for searching free parking space. An infrared sensor has to be employed in each slot to check that a particular plot is vacant or not. Searching smart parking system helps people to search parking space accessible with the ease of IOT automation by supplying parking slot free information. The user can book in advance the parking slot and update the information to the server. Every user has a unique id and password. In case a car in stolen and enter the parking IOT the server checks the database and inform the police. 


2021 ◽  
Vol 7 (2) ◽  
Author(s):  
P. Vishnu Kumar ◽  
Kammari Dinesh ◽  
Talari Bharath Kumar ◽  
P. Jelan Basha ◽  
G. Hari Prasad

This paper is regarding planning a PC-based observance parking system supported IoT that may be applied at the park-like at the searching advanced and offices. This paper focuses on the event of front panel victimization National Instrument's LABVIEW package and Node MCU, Personal Computer (PC), and NODE MCU. The traditional parking lot system doesn't have a board and it cannot show the vacancy of automobile parking space. The user must gamble to hunt any vacancy and need to watch for the opposite automobile to exit from the automobile parking space. Up to the traditional parking system, it'll create the automobile parking space become well organized and user friendly. This paper can produce an automobile detection system by developing a PC-based front panel of parking lot operation knowledge. The system can convert the output from the sensing element to the programmable language to the computer-based mostly board. The board aims to indicate the standing and automobile parking space vacancy. The NODE MCU is employed to supply interfacing between hardware and package. By victimization Lab, VIEW, and Node MCU, the simulation of the physical system will be developed to watch the quantities to be measured and the standing of the instrumentation within the plant from remote purposes while not accessing the inaccessible areas of the plant. Through the traditional parking system victimization Lab VIEW and Node MCU, the front panel is with success developed and explained by planning a physical model of automobile parking space with automobile detector operation. These PC-based observance systems will be applied in varied industrial applications like building security systems and mill automation.


Author(s):  
Singgih Bima Prakoso

Abstract - This study will focus on the design of automatic parallel parking systems. The parking system is designed for small cars that use Arduino Mega 2560, HC-SR04 ultrasonic sensor, optocoupler, DC motor and servomotor. The ultrasonic sensor and optocoupler SR-04 is the input (input) of this system that will be processed by the ATmega 2560 microcontroller. Each input will be processed by the microcontroller to determine the amplitude and direction of rotation of the servomotor in driving the car. This automatic parking system starts when the vehicle searches for a parking space that matches the specified size, and then maneuvers into the parking space. The work cycle of the PWM is the main element of speed control of a DC motor. The results of testing the system in stages starting from the forward detecting the parking space until backwards to do the parking process is done to get the size of the parking space as well as the ideal distance for parking as a whole which is ± 70 cm and ± 35 cm wide. The results showed that, first, the automatic parking system for parallel parking left and right worked well with an average success rate of 80% for space detection and 48% for left parking, 85% for space detection and 45% for parking at right side to finish with a size of 70 cm of parking space and 35 cm wide. Keyword : automatic parking, parallel parking left and right, counter parking


Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2261
Author(s):  
Changhao Piao ◽  
Jun Zhang ◽  
KyungHi Chang ◽  
Yan Li ◽  
Mingjie Liu

The goal of automatic parking system is to accomplish the vehicle parking to the specified space automatically. It mainly includes parking space recognition, parking space matching, and trajectory generation. It has been developed enormously, but it is still a challenging work due to parking space recognition error and trajectory generation for vehicle nonparallel initial state with parking space. In this study, the authors propose multi-sensor information ensemble for parking space recognition and adaptive trajectory generation method, which is also robust to vehicle nonparallel initial state. Both simulation and real vehicle experiments are conducted to prove that the proposed method can improve the automatic parking system performance.


2006 ◽  
Vol 532-533 ◽  
pp. 568-571
Author(s):  
Ming Zhou ◽  
Hai Feng Yang ◽  
Li Peng Liu ◽  
Lan Cai

The photo-polymerization induced by Two-Photon Absorption (TPA) is tightly confined in the focus because the efficiency of TPA is proportional to the square of intensity. Three-dimensional (3D) micro-fabrication can be achieved by controlling the movement of the focus. Based on this theory, a system for 3D-micro-fabrication with femtosecond laser is proposed. The system consists of a laser system, a microscope system, a real-time detection system and a 3D-movement system, etc. The precision of micro-machining reaches a level down to 700nm linewidth. The line width was inversely proportional to the fabrication speed, but proportional to laser power and NA. The experiment results were simulated, beam waist of 0.413μm and TPA cross section of 2×10-54cm4s was obtained. While we tried to optimize parameters, we also did some research about its applications. With TPA photo-polymerization by means of our experimental system, 3D photonic crystal of wood-pile structure twelve layers and photonic crystal fiber are manufactured. These results proved that the micro-fabrication system of TPA can not only obtain the resolution down to sub-micron level, but also realize real 3D micro-fabrication.


Sign in / Sign up

Export Citation Format

Share Document