scholarly journals Sistem Kendali Dan Pengawasan Wilayah Pintu Berbasis IoT

2019 ◽  
Vol 2 (2) ◽  
pp. 101
Author(s):  
Arnes Sembiring
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Video Streaming ◽  
Streaming Video ◽  
Security System ◽  
Raspberry Pi ◽  
The Internet ◽  
Web Pages ◽  
Arduino Uno

Abstract - In this study, an IoT-based door security system was proposed which facilitated homeowners to open and close doors and unlock doors through the internet. The system is also equipped with a real time video streaming feature so that the owner can save the environment around the door and ensure the person at the door before opening it. The Raspberry Pi is used as the main controller of the system that provides web pages for users and signatories to access Arduino Uno boards. Arduino Uno controls the servo to control the door. The camera used in this study is a Raspberry Camera with 5 MP resolution. From the results of the tests carried out, the results of the system that have been made can work well. Expected full service and response to changes in users on web pages is also quite fast. Streaming video runs smoothly at 30 fps with a resolution of 640x480.Keywords - Raspberry Pi, Streaming Video, Internet of Things, Door Control 

scholarly journals РОЗРОБЛЕННЯ МЕТОДИКИ PSMECA АНАЛІЗУ ПРИ ЗАСТОСУВАННІ IoT КОМПОНЕНТІВ У СИСТЕМАХ ФІЗИЧНОЇ БЕЗПЕКИ

2018 ◽  
pp. 63-73 ◽  
Author(s):  
Ahmed Waleed Al-Khafaji
Keyword(s):  
Internet Of Things ◽  
Research And Development ◽  
Theoretical Models ◽  
Security System ◽  
Raspberry Pi ◽  
The Internet ◽  
Physical Security ◽  
Security Systems ◽  
Internet Of Things Environment ◽  
The Internet Of Things

Physical security systems are applied to alert in advance a well-known vector of attacks. This paper presents an analysis of the research and assessment of physical security systems applying the PSMECA technique (analysis of modes, efforts, and criticality of physical security). The object of research and analysis is the physical security system of the Ministry of Education and Science of Iraq (as the infrastructure of the region's objects), as well as the area of the compact living of students and co-workers (campus). This paper discusses the organization of physical security systems, which are based on devices with low power consumption and function in the Internet of things environment. The main aim is to describe and develop a physical security system that functions in the Internet of things environment, as well as the development of a scheme for the research and development of models and methods for risk analysis, models of functions and components, models of failures and conducting research and analysis of occurrence failures of PSS. The generalized structural and hierarchical scheme of the physical security system of the infrastructure of the region is presented, as well as the applied application of the scheme is illustrated by the example of the physical security system of a student campus of one of the universities of Baghdad. The functional modeling scheme of the object is provided and is based on the use of the Raspberry Pi microcomputer and the Arduino microcontroller. The set-theoretical models of functions, components, and failures of the system under study, as well as the projection of a hierarchical failure structure in the table of the basic structural elements of the system, are presented. The IDEF0 diagram, showing a power outage scenario (accidental or intentional) in connection with lighting and video subsystems, is presented. The scheme of research and development of models and methods of analysis of risks of PSS is carried out in the paper. A PSMECA table for the CCTV system has been created, which allows you to more precisely determine the cause of the failure in the physical security system and the importance of failure criticality

scholarly journals Peringatan Otomatis Pada Internet of Things Sistem Deteksi Smart Motion

2021 ◽  
Vol 5 (1) ◽  
pp. 19-25
Author(s):  
Nizirwan Anwar ◽  
Budi Tjahjono ◽  
Masmur Tarigan ◽  
Dewanto Adhy Rosian ◽  
Nur Widiyasono ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Human Movement ◽  
Human Motion ◽  
Security System ◽  
Raspberry Pi ◽  
The Internet ◽  
Daily Lives ◽  
Human Presence ◽  
Home Security ◽  
Network Connection

The main problem in this research is the increase in cases of theft and robbery. This incident was caused by the busyness of everyone in their daily lives, so they forgot about the safety of their house. An Internet of Things (IoT) based home security system that utilizes a PIR sensor as a human motion detector and then sends a notification in the form of a notification via SMS or e-mail is one solution to overcome the problems that have been previously proposed in previous research. However, to further clarify the warning sent from the system, a home security system is needed that can attach an image to the notification. In this study, an IoT-based home security system was developed. The IoT security system being developed can automatically send a warning message by attaching an image when the PIR sensor detects human presence. The IoT system requires a Raspberry Pi as a microcontroller that is connected to the internet, a PIR sensor to detect human movement and a Pi Camera to win an image when there is an encounter with a human within the range of the PIR sensor. Experiments in this study show that the IoT system can automatically send warning messages via the Telegram application by attaching an image when the PIR sensor detects human presence in various light conditions with a distance of 0-5 meters and the speed of sending email alerts is influenced by the condition of the internet network connection and file size. images sent.

scholarly journals Low Delay Video Streaming on the Internet of Things Using Raspberry Pi

Electronics ◽  
2016 ◽  
Vol 5 (4) ◽  
pp. 60 ◽  
Author(s):  
Ulf Jennehag ◽  
Stefan Forsstrom ◽  
Federico Fiordigigli
Keyword(s):  
Internet Of Things ◽  
Video Streaming ◽  
Raspberry Pi ◽  
The Internet ◽  
Low Delay ◽  
The Internet Of Things

scholarly journals EMBEDDED CODING VIDEO STREAM DALAM RASPBERRY PI MODEL 2 PADA DEVICE TO DEVICE COMMUNICATION

TRANSIENT ◽  
2017 ◽  
Vol 6 (3) ◽  
pp. 461
Author(s):  
Arisla Choirudin Muzzaki ◽  
Aghus Sofwan ◽  
Muhammad Arfan
Keyword(s):  
Internet Of Things ◽  
Video Streaming ◽  
Video Stream ◽  
Streaming Video ◽  
Raspberry Pi ◽  
Embedded Coding ◽  
Device To Device ◽  
Device To Device Communication

 Pemanfaatan Internet of Things (IoT) saat ini sudah semakin meluas. Cakupan pemafaatannya pun semakin beragam, dari hanya pada sektor pendidikan sebagai sarana berkomunikasi hingga pada hal-hal yang berkenaan dengan kebutuhan sehari-hari. Salah satu pemanfaatan IoT yang sering digunakan saat ini adalah layanan video streaming. Saat ini, telah terdapat beberapa cara dan metode konfigurasi untuk membuat sebuah layanan video streaming, salah satunya adalah dengan proses embedded coding. Coding yang ditanamkan ini nantinya yang menjadi pengirim dari proses streaming video. Dengan digunakannya proses embedded coding untuk mendapatkan layanan video streaming, tentunya akan membuat layanan ini dapat diakses dari beberapa software Video Stream Player yang berbeda-beda. Server ini nantinya merupakan program yang dijalankan dalam sebuah mini computer yaitu Raspberry Pi. Dengan adanya Raspberry Pi beserta komponen-komponen pelengkapnya seperti Raspi Camera, akan memperkecil dimensi alat tanpa mengurangi peforma dari sistem yang dijalankan. Penggunaan teknologi video stream dengan menggunakan proses embedded coding diharapkan dapat menjadi sarana baru untuk meningkatkan peforma layanan streaming video dan bisa mengikuti perkembangan di zaman sekarang.

scholarly journals Sistem Monitoring Budidaya Ikan Lele Berbasis Internet Of Things Menggunakan Raspberry Pi

2018 ◽  
Vol 5 (6) ◽  
pp. 745 ◽  
Author(s):  
Erfan Rohadi ◽  
Dodik Widya Adhitama ◽  
Ekojono Ekojono ◽  
Rudy Ariyanto ◽  
Rosa Andrie Asmara ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Ph Sensor ◽  
Raspberry Pi ◽  
The Internet ◽  
Automation System ◽  
Mobile Web ◽  
And Control ◽  
Internet Of Things Technology ◽  
The Internet Of Things

<p><strong>Abstrak</strong><em><br /></em></p><p><em>Internet of Things</em> merupakan perkembangan teknologi berbasis internet masa kini yang memiliki konsep untuk memperluas manfaat yang benda yang tersambung dengan koneksi internet secara terus menerus. Sebagai contoh benda elektronik, salah satunya adalah Raspberry Pi. Teknologi ini memiliki kemampuan memberikan informasi secara otomatis dan <em>real time</em>. Salah satu pemanfaatan perkembangan teknologi ini di bidang perikanan adalah sistem pemantauan air kolam. Pada prakteknya, para pembudidaya ikan lele masih melakukan pemantauan tersebut secara konvensional yaitu dengan cara mendatangi kolam ikan. Hal ini berpengaruh terhadap efisiensi waktu dan keefektifan kerja pembudidayaan ikan.<strong></strong></p><p>Pada penelitian ini dikembangkan alat yang berfungsi untuk membantu memantau dan mengontrol kualitas air kolam ikan lele berbasis <em>Internet of Things</em>. Piranti yang diperlukan adalah sensor keasaman (pH), sensor suhu dan sebuah relay untuk mengatur aerator oksigen air. Data dari sensor-sensor tersebut direkam oleh Raspberry Pi untuk kemudian diolah menjadi informasi sesuai kebutuhan pengguna melalui perantara internet secara otomatis. Selanjutnya data-data tersebut dapat ditampilkan dengan berbagai macam platform, salah satunya dengan model <em>mobile web</em>.  <strong></strong></p><p>Hasil uji menunjukan bahwa pengembangan teknologi <em>Internet of Things</em>  pada sistem ini dapat membantu pembudidaya untuk melakukan pemantauan terhadap kualitas air secara otomatis. Sistem otomasi yang dikembangkan menjanjikan peningkatan keberhasilan dalam pembudidayaan ikan lele.</p><p> </p><p><em><strong>Abstract</strong></em></p><p><em>For recent years, the Internet of Things becomes the topic interest of improvement based on technologies that have the concept of extending the benefits of an object that is connected to an internet constantly. This technology has the ability to provide information automatically and real time. One of expansion in the field of fishery is the water ponds monitoring system. In the fact, the catfish farmers are still doing conventional monitoring by coming to the fish pond. This could affects the efficiency of time and effectiveness of fish cultivation work.</em></p><p><em>In this research, the systems that can monitor and control the quality of catfish water ponds based on the Internet of Things is proposed. The necessary tools are acidity sensor (pH), temperature sensor and a relay to adjust water oxygen aerator. The data sensors have been recorded by Raspberry Pi that processed into information according to user needs through internet automatically. Furthermore, these data have been displayed with a variety of platforms, one with a mobile web model.</em></p><p><em>The results shows that the system based on Internet of Things technology can monitor the water quality automatically. The automation system promises the productivity of catfish farming.</em></p>

scholarly journals Development of a Raspberry Pi-Based Sensor System for Automated In-Field Monitoring to Support Crop Breeding Programs

Inventions ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 42
Author(s):  
Worasit Sangjan ◽  
Arron H. Carter ◽  
Michael O. Pumphrey ◽  
Vadim Jitkov ◽  
Sindhuja Sankaran
Keyword(s):  
Real Time ◽  
Imaging System ◽  
Crop Growth ◽  
Sensor System ◽  
Plant Phenotyping ◽  
Raspberry Pi ◽  
The Internet ◽  
Growth Stages ◽  
Crop Breeding ◽  
Breeding Programs

Sensor applications for plant phenotyping can advance and strengthen crop breeding programs. One of the powerful sensing options is the automated sensor system, which can be customized and applied for plant science research. The system can provide high spatial and temporal resolution data to delineate crop interaction with weather changes in a diverse environment. Such a system can be integrated with the internet to enable the internet of things (IoT)-based sensor system development for real-time crop monitoring and management. In this study, the Raspberry Pi-based sensor (imaging) system was fabricated and integrated with a microclimate sensor to evaluate crop growth in a spring wheat breeding trial for automated phenotyping applications. Such an in-field sensor system will increase the reproducibility of measurements and improve the selection efficiency by investigating dynamic crop responses as well as identifying key growth stages (e.g., heading), assisting in the development of high-performing crop varieties. In the low-cost system developed here-in, a Raspberry Pi computer and multiple cameras (RGB and multispectral) were the main components. The system was programmed to automatically capture and manage the crop image data at user-defined time points throughout the season. The acquired images were suitable for extracting quantifiable plant traits, and the images were automatically processed through a Python script (an open-source programming language) to extract vegetation indices, representing crop growth and overall health. Ongoing efforts are conducted towards integrating the sensor system for real-time data monitoring via the internet that will allow plant breeders to monitor multiple trials for timely crop management and decision making.

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