scholarly journals Face Recognition with OPENCV and Smart Shopping in Cloud Computing

2019 ◽  
Vol 9 (1) ◽  
pp. 4078-4082
Keyword(s):  
Cloud Computing ◽  
Face Recognition ◽  
Human Life ◽  
Raspberry Pi

The present data time targets digitizing data and executing effective, instinctive and easy to understand frameworks to unravel human life. Making a canny truck that deals with quick charging is a jump towards an advanced and totally computerized shopping knowledge. Buying thing in enormous supermarkets with a gigantic assortment of things is time taking procedure. It can be optimized through motorizing the charging framework. A shopping truck contains a versatile computational gadget (like raspberry pi) and a customized thing recognizable proof innovation (like the radio recurrence distinguishing proof innovation). Minute charging without long lines at counters and monitoring consumption constant are the two goals of this canny truck. This paper depends on building up a venture through the intend to lessen point in time used up on shopping of regular things and make the procedure less repetitive. Besides, it empowers the customers to use their point in time on other gainful and increasingly huge exercises.

scholarly journals A Face Recognition Method in the Internet of Things for Security in Smart Recognition Places

2022 ◽  
Vol 10 (1) ◽  
pp. 687-690
Author(s):  
Prof. Kalpana Malpe
Keyword(s):  
Face Recognition ◽  
Face Detection ◽  
Associate Degree ◽  
Human Life ◽  
Recognition System ◽  
Raspberry Pi ◽  
Living Things ◽  
Face Recognition System ◽  
The Face ◽  
Face Detection And Recognition

Abstract: In recent years, the safety constitutes the foremost necessary section of the human life. At this point, the price is that the greatest issue. This technique is incredibly helpful for reducing the price of watching the movement from outside. During this paper, a period of time recognition system is planned which will equip for handling pictures terribly quickly. The most objective of this paper is to safeguard home, workplace by recognizing individuals. The face is that the foremost distinctivea part of human’s body. So, it will replicate several emotions of associate degree Expression. A few years past, humans were mistreatment the non-living things like good cards, plastic cards, PINS, tokens and keys for authentication, and to urge grant access in restricted areas like ISRO, National Aeronautics and Space Administration and DRDO. The most necessary options of the face image are Eyes, Nose and mouth. Face detection and recognition system is simpler, cheaper, a lot of accurate, process. The system under two categories one is face detection and face recognition. Throughout this case, among the paper, the Raspberry Pi single-board computer is also a heart of the embedded face recognition system. Keywords: Raspberry Pi, Face recognition system

Arrangement of Archives of Cloud Computing Based and Utilization of Microsoft Access

2018 ◽  
Vol 1 ◽  
pp. 198
Author(s):  
Lusy Tunik Muharlisiani ◽  
Henny Sukrisno ◽  
Emmy Wahyuningtyas ◽  
Shofiya Syidada ◽  
Dina Chamidah
Keyword(s):  
Cloud Computing ◽  
Public Service ◽  
Human Life ◽  
Electronic System ◽  
Main Function ◽  
Scientific Publications ◽  
Data Manipulation ◽  
Administrative Management ◽  
Microsoft Access

Service at the “Kelurahan” is a very important part in determining the success of development, especially in public service. The problem faced is the lack of skill level of the “Kelurahan” apparatus with the more dynamic demands of the community and the archive management system is still conventional and manual that is writing the identity of the archive into the book agenda, expedition, control card, and borrowed archive card, so it takes a more practical electronic system, effective and efficient so required to develop themselves in order to improve public services. Conventional administration and archive management must be transformed into cloud-based computing (digital), for which archiving managers should always be responsive and follow these developments and wherever possible in order to utilize for archival activities, with greater access expected archives are evidence at once able to talk about historical facts and events and be able to give meaning and benefit to human life, so archives that were only visible and readable at archival centers can now be accessed online, and even their services have led to automated service systems. Using Microsoft Access which its main function is to handle the process of data manipulation and manufacture of a system, this system is built so that the bias runs on Cloud which means Cloud itself is a paradigm in which information is permanently stored on servers on the internet and stored. The purpose of this program is the implementation of administrative management that has been based cloud computing (digital) and is expected to be a solution in managing the archive so that if it has been designed and programmed, it can be stored in the computer and benefi- cial to the “Kelurahan” apparatus and add in the field of management archives in the form of improving the quality of service to the community, can facilitate and scientific publications.

Face recognition in an intelligent door lock with ResNet model based on deep learning

2021 ◽  
pp. 1-11
Author(s):  
Suphawimon Phawinee ◽  
Jing-Fang Cai ◽  
Zhe-Yu Guo ◽  
Hao-Ze Zheng ◽  
Guan-Chen Chen
Keyword(s):  
Face Recognition ◽  
Detection System ◽  
Low Cost ◽  
Ease Of Use ◽  
Raspberry Pi ◽  
Training Methods ◽  
Graphics Recognition ◽  
Face Images ◽  
The Face ◽  
Door Lock

Internet of Things is considerably increasing the levels of convenience at homes. The smart door lock is an entry product for smart homes. This work used Raspberry Pi, because of its low cost, as the main control board to apply face recognition technology to a door lock. The installation of the control sensing module with the GPIO expansion function of Raspberry Pi also improved the antitheft mechanism of the door lock. For ease of use, a mobile application (hereafter, app) was developed for users to upload their face images for processing. The app sends the images to Firebase and then the program downloads the images and captures the face as a training set. The face detection system was designed on the basis of machine learning and equipped with a Haar built-in OpenCV graphics recognition program. The system used four training methods: convolutional neural network, VGG-16, VGG-19, and ResNet50. After the training process, the program could recognize the user’s face to open the door lock. A prototype was constructed that could control the door lock and the antitheft system and stream real-time images from the camera to the app.

scholarly journals Fog Computing in the context of Smart Home, voice assistant and the future of IoT

2020 ◽  
Vol 21 (1) ◽  
pp. 6-12
Author(s):  
Javier Pinzón Castellanos ◽  
Miguel Antonio Cadena Carter
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Data Transmission ◽  
Smart Home ◽  
Fog Computing ◽  
Relevant Information ◽  
Raspberry Pi ◽  
Thermal Sensors ◽  
Computing Architecture ◽  
The Future

Fog Computing is the distributed computing layer that lies between the user and the cloud. A successful fog architecture reduces delay or latency and increases efficiency. This paper describes the development and implementation of a distributed computing architecture applied to an automation environment that uses Fog Computing as an intermediary with the cloud computing layer. This study used a Raspberry Pi V3 board connected to end control elements such as servomotors and relays, indicators and thermal sensors. All is controlled by an automation framework that receives orders from Siri and executes them through predetermined instructions. The cloud connection benefits from a reduced amount of data transmission, because it only receives relevant information for analysis.

scholarly journals Analysis of the ukrainian market of cloud technologies

Connectivity ◽  
2020 ◽  
Vol 148 (6) ◽  
Author(s):  
K. A. Fedosiva ◽  
◽  
I. M. Sribna
Keyword(s):  
Cloud Computing ◽  
Human Life ◽  
Rapid Development ◽  
Cloud Services ◽  
Remote Access ◽  
Local Network ◽  
Rapid Improvement ◽  
Local Conditions ◽  
Wide Range ◽  
Cloud Technologies

The article is devoted to the analysis of the Ukrainian market for the spread of cloud technologies, an overview of growth dynamics, application segments and identifies leading companies that offer services using cloud computing. According to the unanimous forecasts of the world’s leading consulting companies, the rapid improvement and spread of cloud computing is now one of the key trends that in the next 5-8 years will significantly affect the global development of not only the IT industry but also business, finance, public administration, medicine, education and many other areas of human life. Prospects for the rapid development of cloud services in Ukraine encourage more careful consideration of the experience of their application in more «mature» markets and identify the main benefits and risks of these technologies in local conditions. People perceive the cloud as a platform only for storage and computing. However, there are many other opportunities that cloud technologies offer with cloud computing. Currently, cloud computing technologies are becoming increasingly popular. The advantages of this technology are obvious: economy, speed, elasticity, versatility of access. In the future, their use will create a powerful information and telecommunications system, which will be a technological solution for the construction and development of new infrastructure in the country. The world’s largest IT vendors (Microsoft, Amazon, Google and others) somehow implement cloud computing services, providing a wide range of opportunities for users. Thus, cloud computing is software and hardware that is available to the user via the Internet (or local network) in the form of a service that allows you to use a user-friendly web interface for remote access to dedicated resources (computing resources, programs and data). Thus, cloud computing is the next stage of information development of mankind.

scholarly journals IoT Based Smart Garage Vehicle Washing Water Nestor

2020 ◽  
Vol 8 (5) ◽  
pp. 3521-3525
Keyword(s):  
Water Pollution ◽  
Cloud Computing ◽  
Big Data ◽  
Smart Cities ◽  
Human Life ◽  
Research Paper ◽  
Proper Treatment ◽  
Computing Services ◽  
Cloud Computing Services ◽  
The Government

Water is critical part of the human life. In most of the developing nation, water pollution is one of the bigger mess. These issues can be handled strictly by the Government organization, by implementing tougher action rules to the industries, were the water are released without any proper treatment. Where each industries (or) smart cities, should take up self-initiative responsibility for proper treatment of the polluted out flow water. In our research paper, we are not focusing on the wider area of the water pollution; our focus is limited within the smart cities vehicle washing garages. In very smart cities, were a regular multiple vehicles washing is done in the garage, our research paper will focus on the out flow of the populated water from these vehicle washing garages. Our design and implantation process is simpler and straightforward approach. Were we will monitor of the water quality; and how much level of the water is populated, and it requires at what level of the treatment. These process can be easily automated using the multiple IOT (internet of things) based sensors, the data can be streamed into the Big Data lake (or) it can be directly pushed into the cloud computing services for generating the real time graphs and analyses report instantly. These data collected in the Big Data lake (or) cloud computing services, can be used for detail analyses for research purpose. We will incorporate the block chain concept to keep track of the smart garage location address and the detail information of the number of garage in the smart cities details in the form of the blocks.

scholarly journals Monitoring Suhu Kelembaban dan Polusi Udara Berbasis Raspberry Pi 3 dengan Menggunakan Transmisi Radio Frekuensi

2020 ◽  
Vol 3 (2) ◽  
pp. 61
Author(s):  
Husnibes Muchtar ◽  
Rahmat Sabar Hakiki
Keyword(s):  
Automatic Control ◽  
Control Systems ◽  
Communication Technology ◽  
Human Activities ◽  
Human Life ◽  
Raspberry Pi ◽  
Monitoring Systems ◽  
Automatic Control Systems ◽  
Surrounding Environment ◽  
Technology Control

Perkembangan ilmu pengetahuan teknologi saaat ini di tandai dengan bermunculan nya alat-alat yang menggunakan sistem kontrol digital dan otomatis, teknologi menjadi hal yangan sangat berguna bagi kehidupan manusia, mulai dari teknologi mekanik, listrik dan komunikasi yang sangat membantu aktivitas manusia agar lebih mudah dan lebih efisien.Penggunaan teknologi komunikasi sistem kontrol dan monitoring. Dalam hal ini pengontrolan menggunakan Handy talky sebagai komunikasi dan raspberry PI 3 sebagai pengontrolnya. Sensor untuk mendeteksi lingkungan sekitar dan LCD untuk menampilkan hasil sensor. The development of science and technology is currently marked by the emergence of tools that use digital and automatic control systems, technology is becoming a very useful thing for human life, ranging from mechanical, electrical and communication technology which greatly helps human activities to be easier and more efficient. efficient.Use of communication technology control and monitoring systems. In this case the controller uses Handy talky as communication and raspberry PI 3 as the controller. Sensors to detect the surrounding environment and LCD to display sensor results.

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