scholarly journals WIRELESS SURVEILLANCE CAMERA WITH AMC (AUTOMATIC MOTION CAPTURES) SYSTEM

CCIT Journal ◽  
2016 ◽  
Vol 9 (2) ◽  
pp. 203-213
Author(s):  
Ageng Setiani Rafika ◽  
Asep Saefullah ◽  
Andri Ahmad Gozali
Keyword(s):  
Input Data ◽  
Integrated System ◽  
Raspberry Pi ◽  
Surveillance Camera ◽  
Input System ◽  
Home Institution ◽  
Media Storage ◽  
Sd Card ◽  
Python Programming ◽  
User Friendly

      Nowadays, utilizing surviellence cameras was very popular because is user friendly and it has many usefull as a monitoring and as a part of security system at home, institution, office, etc. The existing surviellence camera using computer as a control system and as a media storage so it’s  need a energy and high cost  for implementation. Surveillance cameras are designed using the Raspberry Pi B, PIR sensor, webcam Logitech C 170, SD Card, Twitter, Raspbian operating system, and python programming. Automatic input data is performed by PIR sensor that will be detected human around of range area frequently. Output 3.3 - 5 volt (High) will be generated when sensor detected the human around of range area. Otherwise 0 volts output ( Low) will be generated when sensor not detected the human around of range area frequently. Then, The input will be processing by Raspberry Pi using python programming that has made to a command to capture or not.implemetation outcome  is a surveillance camera that will capture image in (.jpg) format when the input system detected human around of range frequently. Capture result will save to SD Card that have integrated system. Then the sistem will provide immediately report the situation in a real-time notification through a twitter application device.

scholarly journals RANCANG BANGUN SISTEM PRESENSI BERBASIS IOT

2020 ◽  
pp. 60-67
Author(s):  
Stephanie Imelda Pella ◽  
Frans Likadja ◽  
Molina Odja ◽  
Wenefrida T Ina
Keyword(s):  
Programming Language ◽  
Integrated System ◽  
The Other ◽  
Local Network ◽  
Raspberry Pi ◽  
The Internet ◽  
Internet Connection ◽  
User Query ◽  
Python Programming ◽  
Database Engine

The purpose of this research is to design and implement an attendance system based on internet of things (IoT) . The proposed system integrated two types of attendance systems, face recognition based attendance system (FRA) and fingerprint-based attendance system (FPA), with a central server. The FRA was developed in a Raspberry Pi mini-computer using Python programming language and Openc CV library. The FPA, on the other hand, was developed using Node MCU ESP8266 and Fingerprint scanner AS608 with Adafruit Fingerprint library. Both FRA and FPA are connected to a web server with a database engine through the internet connection and sensing attendance data using the HTTP_POST method. The server was developed using Apache Webserver, PHP programming language, and MySQL database engine. The server serves two main purposes, which are to record the attendance data sent by the FPA and FRA, and generate an attendance report based on the user query. The system testing was done in a local network. The result showed that both the subsystems and the integrated system worked well

scholarly journals An IoT-Based Smart Home Automation System

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3784
Author(s):  
Cristina Stolojescu-Crisan ◽  
Calin Crisan ◽  
Bogdan-Petru Butunoi
Keyword(s):  
Application Programming Interface ◽  
Smartphone Application ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Network Connection ◽  
Communication Scheme ◽  
Application Programming ◽  
Home Automation System ◽  
User Friendly

Home automation has achieved a lot of popularity in recent years, as day-to-day life is getting simpler due to the rapid growth of technology. Almost everything has become digitalized and automatic. In this paper, a system for interconnecting sensors, actuators, and other data sources with the purpose of multiple home automations is proposed. The system is called qToggle and works by leveraging the power of a flexible and powerful Application Programming Interface (API), which represents the foundation of a simple and common communication scheme. The devices used by qToggle are usually sensors or actuators with an upstream network connection implementing the qToggle API. Most devices used by qToggle are based on ESP8266/ESP8285 chips and/or on Raspberry Pi boards. A smartphone application has been developed that allows users to control a series of home appliances and sensors. The qToggle system is user friendly, flexible, and can be further developed by using different devices and add-ons.

scholarly journals Online Integrated Development Environment (IDE) in Supporting Computer Programming Learning Process during COVID-19 Pandemic: A Comparative Analysis

2020 ◽  
Vol 9 (2) ◽  
pp. 66-71
Author(s):  
Kartikadyota Kusumaningtyas ◽  
Eko Dwi Nugroho ◽  
Adri Priadana
Keyword(s):  
Comparative Analysis ◽  
Computer Programming ◽  
Learning Material ◽  
Integrated Development Environment ◽  
Development Environment ◽  
Integrated Development ◽  
Data Usage ◽  
Study Programs ◽  
Python Programming ◽  
User Friendly

COVID-19 has spread to various countries and affected many sectors, including education. New challenges arise in universities with study programs related to computer programming, which require a lot of practice. Difficulties encountered when students should setting up the environment needed to carry out programming practices. Furthermore, they should install a text editor called Integrated Development Environment (IDE) to support it. There is various online IDE that supports computer programming. However, students must have an internet connection to use it. After all, many students cannot afford to buy internet quotas to access online learning material during the COVID-19 pandemic. According to these problems, this study compares several online IDEs based on internet data usage and the necessary supporting libraries' availability. In this study, we only compared eleven online IDEs that support the Python programming language, free to access, and do not require logging in. Based on the comparative analysis, three online IDEs have most libraries supported. They are REPL.IT, CODECHEF, and IDEONE. Based on internet data usage, REPL.IT is an online IDE that requires the least transferred data. Moreover, this online IDE also has a user-friendly interface to place the left and right sides' code and output positions. It prevents the user from scrolling to see the results of the code that has been executed. The absence of advertisements also makes this online IDE a more focused appearance. Therefore, REPL.IT is highly recommended for users who have a limited internet quota, primarily to support the learning phase of computer programming during the COVID-19 pandemic.

scholarly journals COVID-19 Authorized Entry with Face Mask Detection using Raspberry Pi

2021 ◽  
Vol 9 (VI) ◽  
pp. 1862-1867
Author(s):  
Anju Ajay
Keyword(s):  
Large Scale ◽  
Facial Recognition ◽  
Face Mask ◽  
Raspberry Pi ◽  
Wireless Internet ◽  
Great Demand ◽  
Embedded Device ◽  
Internet Connection ◽  
Battery Power ◽  
Python Programming

There are no effective face mask detection applications in the current COVID-19 scenario, which is in great demand for transportation, densely populated places, residential districts, large-scale manufacturers, and other organizations to ensure safety. In addition, the lack of big datasets of photographs with mask has made this task more difficult. With the use of Python programming, the Open CV library, Keras, and tensor flow, this project presents a way for recognizing persons without wearing a face mask using the facial recognition methodology. This is a self-contained embedded device that was created with the Raspberry Pi Electronic Development Board and runs on battery power. We make use of a wireless internet connection using USB modem. In comparison to other existing systems, our proposed method is more effective, reliable, and consumes significantly less data and electricity

scholarly journals A Survey on Covid Safety System

2021 ◽  
Vol 9 (11) ◽  
pp. 589-593
Author(s):  
Hinal Sodagra
Keyword(s):  
Body Temperature ◽  
Face Mask ◽  
Raspberry Pi ◽  
Infrared Sensor ◽  
Shopping Malls ◽  
Solution System ◽  
Public Places ◽  
Hand Sanitizer ◽  
Security Clearance ◽  
Python Programming

Abstract: In this paper a Raspberry Pi based automated solution system focused on the real-time face monitoring of people to detect both face masks and body temperature with the help of MLX90614 sensor has been proposed. This is implemented using Python Programming with OpenCV Library, TensorFlow, Dlib Module. A security clearance system is deployed that will allow that person to enter if they are wearing a face mask and their body temperature is in check with WHO guidelines. A programmed hand sanitizer apportioning machine is mechanized, non-contact, liquor-based hand sanitizer gadget. Liquor is essentially a dissolvable, and furthermore a generally excellent sanitizer when contrasted with fluid cleanser or strong cleanser, likewise it needn't bother with water to wash off since it is unpredictable furthermore, disintegrates in a split second after application to hands. It is too demonstrated that a convergence of >70% liquor can execute Covid in hands. Here, we have used IR sensor detects the hand put close to it, the Arduino Uno is utilized as a microcontroller, which detects the distance and the outcome isthe pump starts running out the hand sanitizer. Thus, the above said system will help the society by saving time and also helps in contaminating the spread of coronavirus. This can be implemented in public places such as colleges, schools, offices, shopping malls, etc. to inspect people. Keywords: Deep Learning, Open CV, Keras, Python, Tensor Flow, Computer Vision, Raspberry Pi, COVID-19, DLib, Arduino, Sensor, Sanitizer, Infrared sensor

scholarly journals PERANCANGAN SISTEM DETEKSI OBJEK PADA ROBOT KRSBI BERBASIS MINI PC RASPBERRY PI 3

2019 ◽  
Vol 12 (1) ◽  
pp. 56-64
Author(s):  
Ilfan Sugianda ◽  
Thamrin Thamrin
Keyword(s):  
Image Processing ◽  
Image Data ◽  
Raspberry Pi ◽  
Process Data ◽  
Single Board Computer ◽  
Object Based ◽  
Football Match ◽  
Omni Wheel ◽  
Python Programming ◽  
Camera Sensor

KRSBI Wheeled is One of the competitions on the Indonesian Robot Contest,. It is a football match that plays 3 robot full autonomous versus other teams. The robot uses a drive in the form of wheels that are controlled in such a way, to be able to do the work the robot uses a camera sensor mounted on the front of the robot, while for movement in the paper author uses 3 omni wheel so the robot can move in all directions to make it easier towards the ball object. For the purposes of image processing and input and output processing the author uses a Single Board Computer Raspberry PI 3 are programmed using the Python programming language with OpenCV image processing library, to optimize the work of Single Board Computer(SBC) Raspberry PI 3 Mini PC assisted by the Microcontroller Arduino Mega 2560. Both devices are connected serially via the USB port. Raspberry PI will process the image data obtained webcam camera input. Next, If the ball object can be detected the object's position coordinates will be encoded in character and sent to the Microcontroller Arduino Mega 2560. Furthermore, Arduino mega 2560 will process data to drive the motors so that can move towards the position of the ball object. Based on the data from the maximum distance test results that can be read by the camera sensor to be able to detect a ball object is �5 meters with a maximum viewing angle of 120 �.

Direction and Speed Control of DC Motor Using Raspberry PI and Python-Based GUI

2021 ◽  
Vol 5 (2) ◽  
pp. 74-87
Author(s):  
Anup Kumar Kolya ◽  
Debasish Mondal ◽  
Alokesh Ghosh ◽  
Subhashree Basu
Keyword(s):  
Smart Phone ◽  
Dc Motor ◽  
Raspberry Pi ◽  
Android Application ◽  
Android Apps ◽  
Design And Implementation ◽  
Java Platform ◽  
Developer Tools ◽  
User Friendly ◽  
And Control

This paper presents the design and implementation of control strategy for both the speed and direction of a direct current (DC) motor using Android-based application in smart phone. The Raspberry Pi 3 with a motor driver controller has been used to implement the control action via Python-based user-defined programming. The Android application has been developed using Android Developer Tools (ADT) in Java platform. The Android apps work like a client and communicates with Raspberry Pi through wi-fi connectivity. Finally, a small graphical user interface (GUI) has been created in Python in order to interface and control the motor with buttons in GUI. The advantages of GUI are that it is attractive, user friendly, and even a layman can work with the application developed in GUI.

Python Programming for the Raspberry Pi

2021 ◽  
pp. 165-213
Author(s):  
Charles Bell
Keyword(s):  
Raspberry Pi ◽  
Python Programming

Real Time Motion Detection for Traffic Analysis Using Computer Vision

2020 ◽  
Vol 10 (2) ◽  
pp. 1-14
Author(s):  
Ashwin Sai C. ◽  
Karthik Srinivas K. ◽  
Allwyn Raja P.
Keyword(s):  
Traffic Management ◽  
Traffic Analysis ◽  
Integrated System ◽  
Lane Changing ◽  
Surveillance Camera ◽  
Integrated Method ◽  
Time Motion ◽  
Violation Detection ◽  
Traffic Violations ◽  
Traffic Management System

Nowadays, as the digital era proliferates, there are a number of traffic violation detection systems built using hardware and software to detect violation of traffic rules. This article proposes an integrated method for traffic analysis by detecting vehicles in the video and tracking their motion for multiple violation detection. The purpose of this integrated system is to provide a method to identify different types of traffic violations and to reduce the number of systems used to record violations. This method receives input from traffic surveillance camera and uses DNN to classify the vehicles to reduce the number of personnel needed to do this manually. The authors have implemented modules which are used to track vehicles and detect violations such as line crossing, lane changing, signal jumping, over-speeding and find illegally parked vehicles. The main purpose of this project is to convert manual traffic analysis into a smart traffic management system.

scholarly journals SISTEM INFORMASI INVENTARIS BARANG MENGGUNAKAN BAHASA PEMROGRAMAN PHP PADA SMAN 1 DUMAI

2019 ◽  
Vol 11 (1) ◽  
pp. 52
Author(s):  
Amat Sofiyan ◽  
Sularno Sularno ◽  
Fina Yuliana
Keyword(s):  
Input Data ◽  
User Friendly

<p><em>Inventaris merupakan kegiatan pencatatan dan pendaftaran barang inventaris/hak milik. Barang milik negara merupakan bagian dari kekayaan negara yang terdiri dari satuan-satuan tertentu yang dapat dihitung.</em><em> SMAN 1 Dumai merupakan salah satu sekolah menengah atas dan</em><em> sebagai </em><em>sekolah favorit di kota Dumai. Pengelolaan dan penyimpanan data inventaris barang pada SMAN 1 Dumai</em><em> saat ini</em><em> dilakukan menggunakan </em><em>M</em><em>icrosoft </em><em>E</em><em>xcel</em><em> 2007</em><em>. Namun sistem ini masih mengalami kekurangan, yaitu pembuatan data inventaris barang masih sederhana. Hal ini menyebabkan proses kerja yang membutuhkan waktu lama</em><em> terutama saat melakukan pencarian data dan dapat</em><em> terjadi redudansi dat</em><em>a.</em><em> </em><em>Dengan demikian peneliti memberi solusi dengan membuat sistem informasi inventaris barang menggunakan bahasa pemrograman PHP,</em> yang mana <em>bahasa pemrograman ini mudah digunakan dan user friendly serta menggunakan data inventaris barang SMAN 1 Dumai sebagai database.</em><em> </em><em>Pada sistem inventaris ini menyediakan beberapa fitur yang dapat digunakan oleh pengguna, diantaranya input data sumber dana, input data barang, input data ruangan, input data penanggung jawab, input data gudang, KIR (Kartu Inventaris Ruang), nomor registrasi barang, laporan inventaris (per bulan, per periode, per tahun), laporan barang rusak (per bulan dan per periode) dan laporan prasarana. </em><em></em></p><p><em> </em></p><p>Kata kunci <em>: Barang, Informasi, Inventaris</em>, <em>PHP, Sistem </em></p>

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