Design of an Intelligent Vehicle System for Storehouse Management Based on Image Processing and RFID Technologies

2011 ◽  
Vol 201-203 ◽  
pp. 2007-2013 ◽  
Author(s):  
Wen Dong Li ◽  
Guo Wei Chen ◽  
Jing Chen ◽  
Xue Jun Zhang
Keyword(s):  
Image Processing ◽  
Face Recognition ◽  
Radio Frequency Identification ◽  
High Accuracy ◽  
Visual Navigation ◽  
Intelligent Vehicle ◽  
Vehicle System ◽  
Logistics Enterprises ◽  
Frequency Identification ◽  
Straight Lines

This paper describes a new intelligent storehouse management vehicle system based on image processing and Radio Frequency Identification (RFID) technologies to ensure the security of storehouses of logistics enterprises and improve the efficiency of storage. The vehicle is able to go ahead automatically by visual navigation in storehouses with the function of face recognition and alarm, as well as automatic statistics of commodities. Hough transformation is used to detect straight lines for angle control, and RFID based component is applied to the commodity management. The results show that our vehicle and storehouse management system can successfully fulfill various tasks with high accuracy of performance, which will lead to a practical merchandise application after further improvements.

The Automatic Positioning System of Coke Oven Locomotive Based on Radio Frequency Identification and Image Processing

2012 ◽  
Vol 588-589 ◽  
pp. 822-825
Author(s):  
Yong Tao Zhang ◽  
Lan Wu ◽  
Jing Dong Bo ◽  
Qing Ping Li ◽  
Jing Xuan Zhang
Keyword(s):  
Image Processing ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Technology Use ◽  
Design Method ◽  
Coke Oven ◽  
Video Camera ◽  
Positioning System ◽  
Accurate Identification ◽  
Frequency Identification

Proposed the design method that separation of coking chamber’s number identification and accurate position. Researching new coke oven locomotive positioning system application of radio frequency identification and image processing technology, use radio frequency identification technology on accurate identification of coking chamber’s number, and then use the video camera to identify door image and its center point for accurate positioning of coke oven locomotive.

scholarly journals Smart Vehicle Registry using IOT and Image Processing

2020 ◽  
Vol 9 (1) ◽  
pp. 1382-1387
Keyword(s):  
Image Processing ◽  
Radio Frequency Identification ◽  
Processing System ◽  
Automated System ◽  
Output Data ◽  
Front End ◽  
Vehicle Registration ◽  
Output Flow ◽  
Frequency Identification ◽  
Smart Vehicle

In the current technological era, everything is getting automated through various technologies. There always remains a need for a Smart Vehicle Registry with optimized performance and zero human interference. This paper deals with such a system by incorporating RFID (Radio Frequency Identification) technology and Image Processing into a single automated system that registers every vehicle and the person driving the vehicle entering into a specific zone. This paper outlines a survey on various works that had been done on the field of RFID and Image processing. The proposed system deals with an RFID system that can be used to scan the person driving the vehicle and an Image processing system which consists of a camera and an open source library to scan and record the vehicle registration plate number and a front end to manage the input and output flow of the system. The system discussed in this paper is created in such a way the analysis can be easily performed on the output data. This paper also discusses the various outcomes and futuristic works that can be performed to improve the system.

Research on RFID and Vision-Based AGV Navigation

2010 ◽  
Vol 136 ◽  
pp. 298-302 ◽  
Author(s):  
Z.G. Man ◽  
Wen Hua Ye ◽  
P. Zhao ◽  
Pei Huang Lou ◽  
T.J. Wu
Keyword(s):  
Image Processing ◽  
Radio Frequency Identification ◽  
Processing Technology ◽  
Rfid Technology ◽  
Image Processing Technology ◽  
Straight Line ◽  
Vision Based Navigation ◽  
Frequency Identification ◽  
Line Scanning ◽  
Line Path

In order to implement vision-based navigation of AGV (Automated guided vehicle) with complex path, a method incorporating RFID (radio frequency identification) technology with image processing technology is proposed, in which RFID technology is used to recognize nodes and image processing technology is used to detect path. Straight line path is detected by Hough transform in case that AGV runs straightly, while curve path is detected by line scanning in case that AGV turns right and left. Experiment results show that, with the method presented in this paper, the navigation of path tracking for AGV is implemented well.

scholarly journals Workshop Internet-Of-Things untuk Guru dan Siswa Sekolah Menengah di Purwakarta, Jawa Barat, Guna Menunjang Kompetensi Era Industri 4.0

2020 ◽  
Vol 4 (2) ◽  
pp. 39
Author(s):  
Syifaul Fuada ◽  
Ichwan Nul Ichsan ◽  
Hafiyyan Putra Pratama ◽  
Dewi Indriati Hadi Putri ◽  
Galura Muhammad Suranegara ◽  
...  
Keyword(s):  
Face Recognition ◽  
Internet Of Things ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Industrial Revolution ◽  
Education Sector ◽  
Student Attendance ◽  
Service Activity ◽  
Frequency Identification ◽  
Technological Paradigms

ABSTRACTInternet of Things (IoT)  is one of the technological paradigms developed in the industrial revolution 4.0. The concept of IoT is an object can transfer data over a network without interaction from human-to-human or from human-to-computer. One of the IoT implementations in the education sector is the attendance system using IoT-based Radio Frequency Identification (RFID).  The attendance machines such as fingerprints and face recognition have a relatively high-cost compared to RFID machines. Hence, if the number of attendance machines within the School is limited, it will be less efficient for a large number of students and vulnerable to queuing. The RFID implementation in the Education sector was socialized through a Workshop with students and teachers of the secondary schools in Purwakarta, West Java, as the participants. To provide additional insight and expertise about the RFID-IoT concept to the workshop participants, this community service activity needs to be done. Several benefits will be obtained through this workshop, including saving paper use and efficiency, because the RFID-based IoT can reduce the teachers’ workload in processing the student attendance lists. Teachers are also invited to this workshop so they can guide their students and pass on the additional skills. Moreover, the invited teacher will teach new knowledge related to workshop material to other students in the School.Keywords: Internet-of-things, RFID, Mesin Kehadiran, Workshop, Purwakarta ABSTRAKInternet of Things (IoT) merupakan salah satu paradigma teknologi yang dikembangkan dalam revolusi industri 4.0. Konsep IoT adalah suatau objek dapat mentransfer data lewat jaringan tanpa adanya interaksi dari manusia ke manusia ataupun dari manusia ke perangkat komputer. Salah satu implementasinya pada bidang pendidikan yaitu sistem kehadiran menggunakan  Radio Frequency Identification (RFID) berbasis teknologi IoT. Mesin kehadiran seperti fingerprint dan face recognition memiliki harga yang relatif mahal dibandingkan mesin RFID. Sementara, jika jumlah mesin kehadiran yang ada di sekolah terbatas, hal ini sedikit kurang efisien untuk jumlah siswa yang sangat banyak dan rentan menimbulkan antrian. Implementasi RFID di bidang Pendidikan ini disosialisasikan melalui sebuah Workshop dengan siswa dan Guru dari sekolah menengah di Purwakarta, Jawa Barat sebagai peserta. Untuk dapat memberikan tambahan wawasan dan keterampilan mengenai mesin kehadiran RFID dengan konsep IoT kepada peserta Workshop, maka pengabdian masyarakat ini perlu dilakukan. Beberapa manfaat akan didapat memalui workshop ini, termasuk menghemat penggunaan kertas dan efisiensi karena RFID berbasis IoT mengurangi beban kerja guru dalam mengolah data kehadiran siswa. Guru turut diundang dalam workshop ini agar mereka dapat membimbing siswanya dan menularkan tambahan keterampilan dan wawasan yang didapat dari kegiatan PKM ini kepada siswa lainnya di sekolah..Kata Kunci: Internet-of-things, RFID, Workshop, Purwakarta

scholarly journals Tempus-A Facial Recognition Technology in Attendance Monitoring

2020 ◽  
Vol 3 (2) ◽  
pp. 175-176
Author(s):  
Melanie M. Reynoso ◽  
Ariane M. Torres
Keyword(s):  
Information System ◽  
Face Recognition ◽  
Radio Frequency Identification ◽  
Facial Recognition ◽  
Raspberry Pi ◽  
Mobile Platforms ◽  
Frequency Identification ◽  
Hardware Component ◽  
Haar Cascade ◽  
Smart Technologies

Attendance monitoring has strategic importance for every organization. It has shifted from utilizing paper-based attendance monitoring to biometrics, radio-frequency identification, Bluetooth and smart technologies, Internet of Things (IoT), cloud computing, or face recognition technology. Tempus is an automated attendance monitoring system that uses face recognition technology for input, real-time IoT capabilities for processing, and portability of mobile platforms for output. It has hardware and software components. The core of the hardware component is Raspberry Pi 3, which serves as a communication medium between the camera sensor and the information system. Tempus uses Haar Cascade for facial detection and Linear Binary Pattern Histogram (LBPH) for facial recognition. The software component is further divided into two: 1) the information system for administrators, an attendance monitoring which allows encoding of data, creating new user accounts, managing schedules, recording attendance, and generating reports; and 2) mobile platform for end-users, the teachers, that is provided for communication and notification purposes only.

Sign in / Sign up

Export Citation Format

Share Document