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 Implementation of Optical Character Recognition Using Raspberry Pi for Visually Challenged Person

2018 ◽  
Vol 7 (3.34) ◽  
pp. 65 ◽  
Author(s):  
S Thiyagarajan ◽  
Dr G.Saravana Kumar ◽  
E Praveen Kumar ◽  
G Sakana
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Speech Synthesis ◽  
Native Speaker ◽  
Image Data ◽  
Raspberry Pi ◽  
Spoken Discourse ◽  
Optical Character ◽  
Digital Format ◽  
Visually Challenged

Blind people are unable to perform visual tasks. The majority of published printed works does not include Braille or audio versions, and digital versions are still a minority. In this project, the technology of optical character recognition (OCR) enables the recognition of texts from image data. The system is constituted by the raspberry pi, HD camera and Bluetooth headset. This technology has been widely used in scanned or photographed documents, converting them into electronic copies. The technology of speech synthesis (TTS) enables a text in digital format to be synthesized into human voice and played through an audio system. The objective of the TTS is the automatic conversion of sentences, without restrictions, into spoken discourse in a natural language, resembling the spoken form of the same text, by a native speaker of the language.  

scholarly journals Identifikasi Plat Nomor Kendaraan Dengan Metode Optical Character Recognition Menggunakan Raspberry Pi

2020 ◽  
Vol 7 (2) ◽  
pp. 116-125
Author(s):  
Winarno Sugeng ◽  
Rio Korio Utoro ◽  
Mochamad Tegar Prabowo
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Raspberry Pi ◽  
Error Handling ◽  
Optical Character

Plat Nomor Kendaraan merupakan identitas bagi setiap kendaraan bermotor yang terdaftar oleh pemerintah Indonesia. Proses identifikasi plat nomor diawali dengan pembambilan gambar kendaraan dengan kamera. Gambar akan di resize untuk menyamakan ukuran citra dan crop untuk memisahkan antara plat nomor dengan bagian kendaraan lainnya menggunakan algoritma Perspective Transform, setelah itu di crop kembali untuk memisahkan antara kode wilayah, kode registrasi dan kode seri wilayah, lalu setiap karakter akan dikenali menggunakan metode Optical Character Recognition (OCR) berdasarkan citra karakter hasil crop. Terdapat proses character error handling untuk meningkatkan tingkat akurasi identifikasi pada karakter plat nomor. Plat nomor Indonesia yang diujikan terbagi menjadi 4 kategori yaitu Plat Standar Mobil, Plat Kustom Mobil, Plat Tidak Standar dan Plat Motor. Resolusi kamera terbaik menggunakan resolusi 1280x720 piksel dan menghasilkan rata-rata waktu uji 6,51 detik. Persentase kebenaran identifikasi karakter terbesar untuk plat standar sebesar 100% pada nilai lux 20~39 dan nilai lux 70~99, sedangkan untuk plat nomor kustom persentase kebenaran identifikasi karakter terbesar sebesar 58% pada nilai lux 90~140. Sedangkan untuk plat tidak standar tidak ada persentase kebenaran identifikasi karakter terbesar menghasilkan persentase 0% pada semua nilai lux yang diujikan. Untuk plat nomor motor persentase kebenaran identifikasi karakter terbesar sebesar 8% pada nilai lux 150~199. Sehingga dapat ditarik kesimpulan bahwa plat nomor standar menjadi rekomendasi yang tepat bagi setiap kendaraan bermotor yang ada di Indonesia.

scholarly journals Rancang Bangun Palang Otomatis Dengan Pengenalan Plat Kendaraan Menggunakan OpenALPR

2020 ◽  
Vol 5 (4) ◽  
pp. 36
Author(s):  
Rahmat Darmawan ◽  
Ahmad Taqwa ◽  
Jon Endri
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Raspberry Pi ◽  
Optical Character

Dikarenakan meningkatnya penggunaan lahan parkir dan keterbatasan lahan, maka seringkali lahan parkir tidak digunakan secara tepat. Namun masalah tersebut dapat diatasi dengan cara mengimplementasikan sistem palang otomatis dengan pendeteksian plat nomor kendaraan berbasis raspberry pi. Proses pengenalan plat nomor kendaraan dilakukan dengan metode optical character recognition (ocr). Hasil pada tugas akhir ini akan menampilkan plat yang telah terdeteksi dan merespon ke output yang disediakan.

scholarly journals Overall Equipment Utilisation (OEU) Monitoring and Remote Quality Check in Legacy Machine with Raspberry Pi

2021 ◽  
Vol 1 (2) ◽  
pp. 135-144
Author(s):  
Siti Nurul Huda Abd Rahim ◽  
Abd Halim Embong
Keyword(s):  
Neural Network ◽  
Graphical User Interface ◽  
Error Detection ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Recognition Rate ◽  
Raspberry Pi ◽  
Manufacturing Companies ◽  
Optical Character ◽  
Quality Check

Overall Equipment Utilisation (OEU) plays an important role as a benchmark for manufacturing companies to determine each machine's efficiency. Currently, there is no proper OEU measurement system in legacy machines and only relies on human observation. This project aims to develop a measurement of OEU system by using Optical Character Recognition (OCR). An efficient Optical Character Recognition (OCR) algorithm is needed to have a high percentage of recognition rate. The outcome of this project will be a Graphical User Interface (GUI) that display real-time OEU monitoring and remote quality check for legacy machines. Pytesseract-OCR Version 4 classifier using the Recurrent Neural Network (RNN) method has been proposed in this paper. Furthermore, an error detection feature is designed from OCR output.

Real Time Implementation of Optical Character Recognition Based TTS System using Raspberry pi

2017 ◽  
Vol 7 (7) ◽  
pp. 149
Author(s):  
Sagar G. K ◽  
Shreekanth T
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
World Health ◽  
Raspberry Pi ◽  
Blind People ◽  
Poor Vision ◽  
Input Text ◽  
Optical Character ◽  
Health Organization ◽  
Text Page

Thetext to speech (TTS) conversion technology is proposed to help the blind people and people with poor vision. According to survey done by World Health Organization (WHO) there are about 286 million blind people in this world and about 91% of them reside in developing countries. So there is necessity of portable TTS converter which should be affordable to help the blinds. To help the blind community a smart reader is proposed in this paper. It includes a web cam to capture input text page which is then processed by TTS unit installed in raspberry pi and the output is then amplified by audio and given out on speaker.

scholarly journals A Smart Reader for Blind People

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1566-1568
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Raspberry Pi ◽  
Human Communication ◽  
Human Needs ◽  
Normal People ◽  
Optical Character ◽  
Visually Impaired People ◽  
Visually Challenged

This paper presents an intelligent bot for aiding the visually challenged people. Presently, 81% are visually impaired who live in the developing countries. Nowadays Human communication is mainly focused on text and speech. To read the text a human needs a vision. Survey conducted on several papers and systems provides hardware consisting of a camera interface with Raspberry Pi for processing the text. The camera captures text image of a handwritten or printed text. The raspberry pi makes use of Optical Character Recognition (OCR) software installed in it, to perform the conversion of an image to text and similarly text to speech conversion. The assistant is applicable for visually impaired people as well as for normal people in order to increase their level of comfort.

scholarly journals Improvement of Parking Security System using Artifical Intelligence Imaging Technology

2019 ◽  
Vol 1 (2) ◽  
pp. 39-42
Author(s):  
Ari Wahyu ◽  
Suhendri Suhendri ◽  
Heri Heryono
Keyword(s):  
Image Processing ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Developed Countries ◽  
License Plate ◽  
Public Facility ◽  
Artifical Intelligence ◽  
Vehicle Data ◽  
Parking System ◽  
Long Time

Parking space is a public facility available at an agency or office that serves to temporally store vehicles, the vehicle that enters the parking area is become tens or even thousands, because tahat reason parking system and management area is needed. Such arrangements able parking procedures and even other support systems such as adequate parking facilities and infrastructure, other functions is making and developing parking systems in general for provide security and comfort, bacause the condition vehicle will be well organized in terms of vehicle placement and security and safety can be used for 24 hours. Constraints this time increasing number of vehicles requires a wider parking area or space, the slow pace of vehicle data collection because the technology used is still carried out vehicle license plate validation manually, another problem is the placement of large areas, this limitation is based on the number of parking attendants in the field is very limited, so extra time are needed to arrange and check the vehicles that have entered the parking area. This problem can be handle using image processing and OCR algorithm techniques, this technique has been implemented in several developed countries that are used to manage they parking system, image processing is used to record and monitor the number of vehicles in the area by reading the number plate, scanning techniques using OCR (Optical Character recognition techniques) , data from a vehicle plate image is converted into text or numbers and can be stored inside database, data from the vehicle plate that has been stored is then matched with a vehicle photo, with help the system can be integrated with the camera so that the supervision of the parking area can be carried out directly for a long time, the system is able to display data visually.

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