A Raspberry PI Real-Time Identification System on Face Recognition

2020 ◽  
Author(s):  
Hanaa Mohsin Ahmed ◽  
Rana Talib Rasheed
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Raspberry Pi ◽  
Identification System ◽  
Real Time Identification

scholarly journals Real-Time Internet Based Attendance Using Face Recognition System

2018 ◽  
Vol 7 (3.15) ◽  
pp. 174 ◽  
Author(s):  
Yuslinda Wati Mohamad Yusof ◽  
Muhammad Asyraf Mohd Nasir ◽  
Kama Azura Othman ◽  
Saiful Izwan Suliman ◽  
Shahrani Shahbudin ◽  
...  
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Recognition System ◽  
Ease Of Use ◽  
Cloud Services ◽  
Raspberry Pi ◽  
Student Attendance ◽  
Online Student ◽  
Internet Server ◽  
Face Recognition System

This project focuses on face recognition implementation in creating fully automated attendance system with a cloud. Cloud services will provide a useful information regarding the attendance such as attendance summary performance and visualizing the data into graph and chart. In this study, we aim to create an online student attendance database, interfaced with a face recognition system based on raspberry pi 3 model B. A graphical user interface (GUI) will provide ease of use for data analysis on the attendance system. This work used open computer vision library and python for face recognition system combined with SFTP to establish connection to an internet server which runs on PHP and Node.js. The results showed that by interfacing a face recognition system with a server, a real-time attendance system can be built and be monitored remotely.  

Real-time identification system of asphalt pavement texture based on the close-range photogrammetry

2019 ◽  
Vol 226 ◽  
pp. 910-919 ◽  
Author(s):  
Jiaying Chen ◽  
Xiaoming Huang ◽  
Binshuang Zheng ◽  
Runmin Zhao ◽  
Xiuyu Liu ◽  
...  
Keyword(s):  
Real Time ◽  
Asphalt Pavement ◽  
Identification System ◽  
Close Range Photogrammetry ◽  
Close Range ◽  
Real Time Identification

System Designation and Optimization in Real-Time Identification of Lane Boundary Based on DM642

2012 ◽  
Vol 433-440 ◽  
pp. 2571-2577
Author(s):  
Yu Qin Zhao ◽  
Run Shen Zhang ◽  
Yong Kun Li ◽  
Jun Jie Zang
Keyword(s):  
Objective Function ◽  
Real Time ◽  
Image Data ◽  
Optimization Methods ◽  
Ant Algorithm ◽  
Identification System ◽  
Hardware Platform ◽  
Assembly Code ◽  
Real Time Identification ◽  
Intrinsic Function

The hardware and programming of lane boundary identification system, which based on the hardware platform of DM642, designed. The system complete the functions of acquiring image data, optimizing acquired data by ant algorithm, comparing value by the objective function, exporting image of lane boundary and so on. For the sake of improving the real time capability further, optimize code by way of methods, which include the optimization of compiler, intrinsic function, packaging data, using pipeline technique, and assembly code, giving specific optimization methods and real time capability of algorithm affected by each process. As a result the identification time of system reduced from 101.75 ms to 20.55ms, improved the system of real time capability effectively, laying a good foundation for industry.

scholarly journals Face Recognition Door Lock System using Raspberry Pi

2021 ◽  
Vol 9 (VI) ◽  
pp. 138-145
Author(s):  
K. V. Usha Ramani
Keyword(s):  
Face Recognition ◽  
Face Detection ◽  
Initial Step ◽  
Power Input ◽  
Human Interaction ◽  
Raspberry Pi ◽  
Identification System ◽  
Human Beings ◽  
The Face ◽  
Door Lock

One of the crucial difficulties we aim to find in computer vision is to recognize items automatically without human interaction in a picture. Face detection may be seen as an issue when the face of human beings is detected in a picture. The initial step towards many face-related technologies, including face recognition or verification, is generally facial detection. Face detection however may be quite beneficial. A biometric identification system besides fingerprint and iris would likely be the most effective use of face recognition. The door lock system in this project consists of Raspberry Pi, camera module, relay module, power input and output, connected to a solenoid lock. It employs the two different facial recognition algorithms to detect the faces and train the model for recognition purpose

scholarly journals A Novel Approach to Vehicle Number Identification using Raspberry pi 3

2019 ◽  
pp. 64-67
Author(s):  
N. Varshini ◽  
Sumedha Kasarla ◽  
Shaik Subhani
Keyword(s):  
Real Time ◽  
Traffic Signals ◽  
Raspberry Pi ◽  
Identification System ◽  
License Plate ◽  
Text Format ◽  
Novel Approach ◽  
Image Conversion ◽  
Image Capturing ◽  
Conversion Technology

Vehicle Number Identification using Raspberry pi 3 is an image conversion technology which captures the license plate of a vehicle. The main aim is to make an effective and accurate license number plate identification system. This system is carried out and performed in the areas where traffic signals are present and the camera is placed on the signal which is connected to raspberry pi and it sends signals to the server and it can also be used in apartments or residencies for capturing all the vehicle numbers entering the building. This system at first detects the vehicle license plate and then captures it .It then converts the image into the text. The text of the license plate is displayed on the screen using the image conversion. Open CV and OCR are the two software's used for image capturing and conversion of that into text format respectively. The resulting data is then displayed on the screen and saved into a folder. The whole system is developed on Raspberry Pi desktop and its performance is used in real-time. It is observed from this experiment that the system mainly detects and captures the vehicle license plate, converts the image into text and displays it on the screen successfully.

Perancangan Sistem Kehadiran Face Recognition Menggunakan Mikrokomputer Berbasis Internet of Things

2020 ◽  
Vol 5 (2 Februari) ◽  
pp. 155-166
Author(s):  
Ahmad Roihan ◽  
Nina Rahayu ◽  
Danang Saputro Aji
Keyword(s):  
Face Recognition ◽  
Internet Of Things ◽  
Real Time ◽  
Raspberry Pi

Semua perusahaan menginginkan sistem kehadiran yang lebih baik di mana dapat meningkatkan tingkat kedisiplinan pegawai dalam kehadiran. Dalam hal ini, menjadi masalah yang harus dicari solusinya dan membutuhkan fasilitas atau perancangan berupa sistem kehadiran yang dapat memudahkan dalam melakukan absensi kehadiran dan mengurangi akan terjadinya kesalahan dan kecurangan. Penelitian ini mengembangkan sistem sebagai pemecahan masalah pada sistem kehadiran yang telah ada saat ini dengan sistem kehadiran dengan pengenalan wajah. Raspberry Pi digunakan sebagai mikro komputer untuk melakukan proses pengolahan data untuk mengaktifkan webcam yang akan mendeteksi wajah ketika gerakan telah terdeteksi oleh PIR sensor sebagai input serta perancangan menggunakan bahasa pemrograman Python yang dijalankan pada platform sistem operasi Raspbian. Tujuan dari penelitian ini yaitu  mampu menerapkan sistem yang dapat melakukan pembacaan wajah pegawai untuk input kehadiran secara real time.   Kata Kunci: Kehadiran, Raspberry, Face Recognition, Webcam, Python

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