QR Code Scanner Enabled Smart Car Parking System Using Raspberry Pi with Android App Access

2020 ◽  
pp. 3-18
Author(s):  
Yesha Patel ◽  
Preksha Gandhi ◽  
Swapnil Shah ◽  
Shital Soman ◽  
Arpan Desai
Keyword(s):  
Raspberry Pi ◽  
Qr Code ◽  
Parking System ◽  
Android App

scholarly journals Parking Availability Indicating Application Using Smart QR Scanning

2021 ◽  
pp. 627-632
Author(s):  
Dr. M. Samayaraj Murali Kishanlal ◽  
Sherlin J ◽  
Varsha S
Keyword(s):  
Hardware Implementation ◽  
Raspberry Pi ◽  
Qr Code ◽  
Parking Space ◽  
New Members ◽  
Parking Lots ◽  
Time Scanning ◽  
Parking System ◽  
Parking Lot

The vehicles are parked in parking lots. These parking lots are found in malls, offices etc. These parking slots are marked on the ground with different size based on vehicles. An Automated Parking System transports vehicles from the entrance to a parking space that is available. Prior to this, car owners must make a reservation for specific parking lot. It takes time for new members to register and have parking assigned to them. An automated parking allotting app is created as well as a hardware implementation for this project. The owner of a car parking lot may sign up and build a parking facility in his area by registering the location and installing a Raspberry Pi with camera, which will automatically update the available parking spaces. The user find available parking slots using app and book a special slot for his or her car. A QR code will be generated, and the customer's bill will be generated based on in-time and out-of-time scanning. This method would be able to save time for car owners as well as and the amount of labor needed to complete the process as a result of this. As a result, this project saves time while also automating the process.

scholarly journals Smart Parking Guidance System on IoT

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2793-2798 ◽  
Keyword(s):  
Video Processing ◽  
Guidance System ◽  
Raspberry Pi ◽  
Parking Space ◽  
Shopping Malls ◽  
Public Facilities ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking ◽  
Haar Cascade

Nowadays, smart parking guidance system is a crucial research for people’s convenience where the integrating concept of IoT that include hardware and software with the connection of internet for image or video processing technology is a powerful application which made up a complete smart parking system. The main objective of this research is to develop and analyze on a smart parking guidance system where current available system was compared to this new proposed system. Limited parking space has become serious issue since the number of Malaysia’s populations are using car keep increasing. Some of the big companies, shopping malls and other public facilities already deployed a smart parking system on their building. However, there are still a lot of buildings that do not own it because the system required a lot of investment, where the huge parking areas need higher cost to install sensors on each parking lot available and cameras are costly and lower in reliability. The proposed smart parking guidance system in this research was depending on a 360° camera that was modified on Raspberry Pi camera module and 360o lens that process with De-Warping techniques for the normal view rather than 360-degree view and Haar-Cascade classifier. The image and video processing was done by Open CV and python program to detect the available parking space and cloud firebase was used to update data where users can access the parking space availability by android mobile phone specifically at a closed parking space. A single 360°camera was replaced several sensors and cameras which were implemented on traditional parking guidance system. In the end of the paper, it is proved that prototype based smart parking is the convenient way to find the parking space availability.

scholarly journals Aplikasi Reservasi Parkir Inap Menggunakan Metode Fishbone Diagram dan QR-Code

2020 ◽  
Vol 9 (3) ◽  
pp. 302
Author(s):  
Yostian Ari Sujarwo ◽  
Anita Ratnasari
Keyword(s):  
Qr Code ◽  
Analysis Method ◽  
Parking System ◽  
Fishbone Diagram ◽  
Diagram Analysis ◽  
Parking Ticket

Currently parking system that is running in Pt. Sanggraha Daksamitra still uses a conventional parking system. When the driver wants to do parking, driver first presses the analog button on the parking gate to get a parking ticket. Lack of maintenance on the parking gate causes vehicle jams in the parking entrance area. To minimize errors that occur, the fishbone diagram analysis method is used to analyze the problem. After the problem was found, a parking reservation was developed that used qr-code as a scanner identification in the parking system. The system produced in this study is expected to facilitate parking drivers who want to park their vehicles in the parking area of Pt. Sanggraha Daksamitra. The results of this system will be tested using blackbox testing.

scholarly journals Smart Parking Guidance System Using 360o Camera and Haar-Cascade Classifier on IoT System

2019 ◽  
Vol 8 (2S11) ◽  
pp. 864-872 ◽  
Keyword(s):  
Video Processing ◽  
Guidance System ◽  
Raspberry Pi ◽  
Parking Space ◽  
Shopping Malls ◽  
Cascade Classifier ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking ◽  
Haar Cascade

Nowadays, smart parking guidance system is a crucial research for people’s convenience. The main objective of this research is to develop and analyze on a smart parking guidance system where current available system was compared to this new proposed system. Limited parking space has become serious issue since the number of Malaysia’s populations who are using car keep increasing. Some of the big companies, shopping malls and other public facilities already deployed a smart parking system on their building. However, there are still a lot of buildings that do not own it because the system required a lot of investment, where the huge parking areas need higher cost to install sensors on each parking lot available. The proposed smart parking guidance system in this research was depending on a 360° camera that was modified on raspberry pi camera module and 360o lens and Haar-Cascade classifier. The image and video processing was by Open CV and python program to detect the available parking space and cloud firebase was used to update data where users can access the parking space availability by android mobile phone specifically at a closed parking space. A single 360°camera was replaced several sensors and camera which was implemented on traditional smart parking system. An analysis was done on the performance of the system where it can detect the parking availability with 99.74% accuracy and which is far better than conventional system including reliability and cost for the parking space guidance system.

scholarly journals Smart Parking System Using Color QR Code

2019 ◽  
Vol 1 (1) ◽  
pp. 39-45
Author(s):  
Sarat Kumar Sahoo ◽  
Rashmita Khilar ◽  
Samiksha Nayak ◽  
Mary Rexcy Asha ◽  
Ann Jerin Amalorpavaraj
Keyword(s):  
Image Segmentation ◽  
Data Base ◽  
Traffic Congestion ◽  
New Method ◽  
Identification System ◽  
Qr Code ◽  
Alarm System ◽  
Parking System ◽  
Smart Parking

In today’s world, parking area constitutes nearly most of traffic congestion is caused by vehicles cruising around their destination and looking for a place to park. Due to this reason many day-to-day activities are affected such as waste of time, fuel wastage, frustration to drivers, theft fear, pollution etc. These factors motivated to pave a new method for smart parking system. In this method the detection is reliable, even when tests are performed using images captured from a different viewpoint. It also provides to design a highly reliable & compatible image segmentation measures for parking slot identification system and a user key driven data base measures to detect the vehicle using theft alarm system.

scholarly journals Camera-Based Parking System Management Using Raspberry Pi

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Ahmad Zatnika Purwalaksana ◽  
Dewi Siburian ◽  
Immanuel Sianturi ◽  
Sabam Sianturi
Keyword(s):  
Data Storage ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Raspberry Pi ◽  
System Management ◽  
Data Recording ◽  
Optical Character ◽  
Vehicle Data ◽  
Parking System ◽  
One Time Password

Currently, there are still many use of manual parking systems, namely parking attendants provide instructions for vehicles to park. This is often considered inefficient because there is no data recording of vehicles that park, resulting in a low level of security and comfort for visitors and the parking system does not provide information about parking slots which can make it difficult for visitors to park vehicles. With this, the vehicle that wants to park often has difficulty when parking the vehicle. Through various problems that occur, the author develops a parking system that can provide information on the availability of parking slots in the parking area as well as data storage for vehicle number plates that do parking. In the parking system, the Raspberry Pi 3 Model B is used as the main controller, camera detection to obtain information in the form of characters from the vehicle number plate with the help of OCR (Optical Character Recognition), the use of OTP (One Time Password) code which can be used only once so as to increase security. on the parking system. Vehicle data in the form of number plates and also OTP code will be stored in the database and used when the vehicle will leave the parking area by matching the number plate data and OTP code of a vehicle to be able to leave the parking area. Through the development of the parking system, it is hoped that it will work well for vehicle drivers to find available parking locations and increase safety and comfort for drivers because of data storage in the form of vehicle number plates as vehicle identity and the use of OTP codes that can only be used once.

scholarly journals Securing Criminal Records using R-Pi, QR code and Steganography

2020 ◽  
Vol 9 (6) ◽  
pp. 684-689
Keyword(s):  
Crime Scene ◽  
Raspberry Pi ◽  
Qr Code ◽  
Criminal Record ◽  
Criminal Records ◽  
Sensitive Data ◽  
Rsa Algorithm ◽  
File Formats ◽  
Wide Range ◽  
Confidential Data

In today`s digital scenario it has become very essential to maintain secrecy of criminal records otherwise forgery could happen. Using steganography it is possible to provide security for the information which is communicated over the internet from one crime branch to the other. Steganography one of the emerging security fields works to mask the very existence of the message. A wide range of carrier file formats can be utilized, but digital steganography is the extremely beneficial data hiding technique to secure criminal image as well as the crime scene images. Various applications have various prerequisites of the steganography method utilized. In this paper, we proposed CRSS (Criminal Record Security System) an image steganography method with LSB and RSA technique for enhanced security and along with that Raspberry pi and GSM module is used. Thus, for a more secure approach, the proposed method hides the criminal`s confidential records such as criminal`s image, crime scene digital images etc. using LSB steganography and also encrypts the confidential data making use of a private key using RSA algorithm and then sends it to the desired end. The receiver then decrypts the confidential data to get the original criminal information. CRSS is also proposed to send a QR code to the receiver which hides sensitive data and may include criminal`s previous crime history and other written proofs which are scanned at the receiving end reveals the entire criminal record. The entire system is implemented on Raspberry Pi 3 processor and thus a secure transmission of data without traditional desktop dependency in a more economical way could be established.

Smart Parking System Using Color QR Code

2019 ◽  
Author(s):  
Rashmita khilar ◽  
Sarat Kumar Sahoo ◽  
R. Swetha ◽  
J. Belwin Edward
Keyword(s):  
Qr Code ◽  
Parking System ◽  
Smart Parking

FireNot – An IoT based Fire Alerting System: Design and Implementation

2020 ◽  
Vol 12 (6) ◽  
pp. 475-489
Author(s):  
Bahman A. Sassani ◽  
Noreen Jamil ◽  
Maria Villapol ◽  
M. Abbas Malik ◽  
Sreenivas Sremath Tirumala
Keyword(s):  
Low Cost ◽  
Warning System ◽  
Cyber Attacks ◽  
Raspberry Pi ◽  
Daily Monitoring ◽  
Python Language ◽  
Alerting System ◽  
Location Detection ◽  
Android App ◽  
The Cost

Internet of Things (IoT) based systems have revolutionised the way real world systems are inter-connected through internet. At present the application of IoT based systems is extend to real time detection and warning system. However, cost has been a major factor for development and implementation of IoT systems. Considering the cost, ease of implementation, this paper proposes a low cost yet efficient IoT system called FireNot for warning and alerting fire incidents. FireNot is a cloud based system that uses sensors (hardware) to detect fire and alert the user through internet and is maintained and monitored using a simple Android app. The FireNot system uses Raspberry Pi programmed through Python language and utilises Google API for location detection. The FireNot system is also intended to provide an expandable platform for additional daily monitoring tasks and more importunately, resiliency against most cyber-attacks and hi-jacking that targets IoT-based system lacked in most of similar IoT-based designs. This paper practically demonstrates the FireNot system through extensive testing on various operations and the FireNot system is proven to be efficient.

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