scholarly journals PERANCANGAN PURWARUPA BIRD REPELLENT DEVICE SEBAGAI OPTIMASI PANEN PADI DI BIDANG PERTANIAN BERBASIS INTERNET OF THINGS

2020 ◽  
Vol 11 (1) ◽  
pp. 129-134
Author(s):  
Ahmad Roihan ◽  
Muhaimin Hasanudin ◽  
Endang Sunandar ◽  
Saria Rizki Pratama
Keyword(s):  
Computer Vision ◽  
Internet Of Things ◽  
Raspberry Pi ◽  
Bird Repellent

Burung adalah salah satu binatang dari beberapa hama atau hewan perusak yang terdapat pada area persawahan. Luasnya area menjadi perhatian khusus bagi petani. Oleh karena itu petani menggunakan peralatan-peralatan tradisional seperti tali plastik dan orang-orangan sawah untuk mengusir hama tersebut. Tentu saja cara pengusiran ini butuh dukungan dari teknologi terbaru, dikarenakan masih terlihat adanya hama burung yang mengganggu area persawahan, dan akhirnya mengakibatkan produktivitas hasil panen yang tidak optimal. Sebuah metode dengan automasi yang cerdas dibutuhkan sebagai jawaban dari kesulitan yang dialami selama ini oleh para petani. Penerapan sistem pengusir burung secara otomatis dengan cara mendeteksi keberadaan burung serta teknik pengusiran memanfaatkan frekuensi suara yang tidak disukai oleh burung, diharapkan dapat mengusir hama burung. Perancangan purwarupa Bird repellent device bekerja dengan cara memanfaatkan teknik computer vision melalui sensor kamera untuk menangkap objek burung dalam setiap frame, kemudian diproses oleh Raspberry Pi. Setelah objek tertangkap pada kamera maka Raspberry Pi mengaktifkan aktuator berupa frekuensi suara.

scholarly journals Vision based Office Automation and Security System using Machine Learning and Internet of Things

2018 ◽  
Vol 7 (2.24) ◽  
pp. 42
Author(s):  
Amber Goel ◽  
Apaar Khurana ◽  
Pranav Sehgal ◽  
K Suganthi
Keyword(s):  
Machine Learning ◽  
Computer Vision ◽  
Face Recognition ◽  
Internet Of Things ◽  
Office Automation ◽  
Detection Algorithm ◽  
Machine Learning Algorithms ◽  
Human Detection ◽  
Raspberry Pi ◽  
Efficient Tool

The paper focuses on two areas, automation and security. Raspberry Pi is the heart of the project and it is fuelled by Machine Learning Algorithms using Open CV and Internet of Things. Face recognition uses Linear Binary Pattern and if an unknown person uses their workstation, a message will be sent to the respective person with the photo of the person who uses the workstation. Face recognition is also being used for uploading attendance and switching ON and OFF appliances automatically. During un-official hours, A Human Detection algorithm is being used to detect the human presence. If an unknown person enters the office, a photo of the person will be taken and sent to the authorities. This technology is a combination of Computer Vision, Machine learning and Internet of things, that serves to be an efficient tool for both automation and security.  

Developing Algorithms for a Berry Recognition System Used in Robotized Harvesting of Garden Strawberry

2020 ◽  
Vol 67 (1) ◽  
pp. 133-141
Author(s):  
Dmitriy O. Khort ◽  
Aleksei I. Kutyrev ◽  
Igor G. Smirnov ◽  
Rostislav A. Filippov ◽  
Roman V. Vershinin
Keyword(s):  
Computer Vision ◽  
Technological Process ◽  
Degrees Of Freedom ◽  
Computer Control ◽  
Recognition System ◽  
Raspberry Pi ◽  
Laser Sensors ◽  
Lighting Conditions ◽  
Systems Research ◽  
Degree Of Maturity

Technological capabilities of agricultural units cannot be optimally used without extensive automation of production processes and the use of advanced computer control systems. (Research purpose) To develop an algorithm for recognizing the coordinates of the location and ripeness of garden strawberries in different lighting conditions and describe the technological process of its harvesting in field conditions using a robotic actuator mounted on a self-propelled platform. (Materials and methods) The authors have developed a self-propelled platform with an automatic actuator for harvesting garden strawberry, which includes an actuator with six degrees of freedom, a co-axial gripper, mg966r servos, a PCA9685 controller, a Logitech HD C270 computer vision camera, a single-board Raspberry Pi 3 Model B+ computer, VL53L0X laser sensors, a SZBK07 300W voltage regulator, a Hubsan X4 Pro H109S Li-polymer battery. (Results and discussion) Using the Python programming language 3.7.2, the authors have developed a control algorithm for the automatic actuator, including operations to determine the X and Y coordinates of berries, their degree of maturity, as well as to calculate the distance to berries. It has been found that the effectiveness of detecting berries, their area and boundaries with a camera and the OpenCV library at the illumination of 300 Lux reaches 94.6 percent’s. With an increase in the robotic platform speed to 1.5 kilometre per hour and at the illumination of 300 Lux, the average area of the recognized berries decreased by 9 percent’s to 95.1 square centimeter, at the illumination of 200 Lux, the area of recognized berries decreased by 17.8 percent’s to 88 square centimeter, and at the illumination of 100 Lux, the area of recognized berries decreased by 36.4 percent’s to 76 square centimeter as compared to the real area of berries. (Conclusions) The authors have provided rationale for the technological process and developed an algorithm for harvesting garden strawberry using a robotic actuator mounted on a self-propelled platform. It has been proved that lighting conditions have a significant impact on the determination of the area, boundaries and ripeness of berries using a computer vision camera.

RANCANG BANGUN INTERNET OF THINGS SERVER DENGAN MENGGUNAKAN ACTIVEMQ ARTEMIS UNTUK MITIGASI BENCANA DI RASPBERRY PI 3

Transmisi ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 117-122
Author(s):  
Sadr Lufti Mufreni ◽  
Esi Putri Silmina
Keyword(s):  
Internet Of Things ◽  
Embedded System ◽  
Raspberry Pi

Indonesia merupakan negara kepulauan yang mempunyai lebih dari 13.000 pulau. Wilayahnya terletak di antara Samudera Hindia dan Samudera Pasifik dan dilewati oleh Pacific Ring of Fire sehingga banyak gunung berapi aktif. Berdasarkan letak geografis mempunyai potensi tsunami dan gempa bumi cukup tinggi. Diperlukan rencana penanggulangan bencana yang baik untuk menekan risiko yang bisa terjadi, salah satunya dengan mitigasi bencana. Mitigasi bencana adalah serangkaian upaya untuk mengurangi risiko bencana, baik melalui pembangunan fisik maupun penyadaran dan peningkatan kemampuan menghadapi ancaman bencana. Mitigasi bencana diperlukan untuk mengurangi dampak yang ditimbulkan terutama korban jiwa. Salah satunya dengan menggunakan sistem peringatan dini. Sistem peringatan dini terdiri dari 3 komponen utama yaitu sensor untuk mendapatkan nilai dari suatu lingkungan, controller untuk mengolah nilai yang diterima, dan aksi yang dilakukan berdasarkan hasil dari pengolahan. Untuk membuat sistem yang efektif diperlukan komunikasi yang memadai. Messaging queue digunakan oleh industri untuk komunikasi antar perangkat lunak, perangkat keras, dan embedded system. Penelitian berfokus pada penggunaan ActiveMQ Artemis sebagai messaging queue sebagai server untuk komunikasi dengan internet of things (IoT). Keunggulan ActiveMQ Artemis dapat dijalankan di Raspberry Pi 3 dengan sedikit modifikasi. Hasil penelitian membuktikan bahwa ActiveMQ Artemis dapat digunakan untuk komunikasi IoT pada simulasi sistem mitigasi bencana.

scholarly journals Sistem Pengontrolan Lampu Gedung STMIK AMIK Riau Berbasis IoT (Internet Of Things)

2018 ◽  
Vol 3 (2) ◽  
pp. 131
Author(s):  
Rometdo Muzawi ◽  
Wahyu Joni Kurniawan
Keyword(s):  
Internet Of Things ◽  
Current Trend ◽  
Control Process ◽  
Internet Technology ◽  
Raspberry Pi ◽  
The Internet ◽  
Lighting Control ◽  
Turn On ◽  
Security Officers ◽  
Internet Network

Internet of Things, also known as abbreviation IoT, is a hardware device (Raspberry Pi) that can connect to the internet with the aim of expanding the internet network connected to the hardware. The development of the Internet of things is a 4.0 technological revolution which is again the current trend. One of the uses of IoT technology is controlling room lights through an internet network that is controlled via a smartphone that can be operated remotely anywhere and anytime. But so far the control of the lights at STMIK Amik Riau is still done manually where security officers approach the swish button to turn on the lights. Therefore it is necessary to design a device that can control electronic equipment (lights) in real time. Where this study aims to build remote-controlled devices by utilizing internet technology to carry out an Internet of Things (IoT) based light control process. This research was conducted by building a prototype with python and mobile based programming applications. In this study there is a room lighting control feature with the first condition that one lamp is used to turn on a lamp and the second condition is used to turn on the lights simultaneously and coupled with camera modules to monitor the condition of the room

scholarly journals IoT-based Pet Feeding Robot Design and Development

2021 ◽  
Vol 9 (VI) ◽  
pp. 3637-3644
Author(s):  
P. Ajay
Keyword(s):  
Body Weight ◽  
Remote Control ◽  
Internet Of Things ◽  
Raspberry Pi ◽  
Robot Design ◽  
Design And Development ◽  
Pet Owners ◽  
At Home

Pets in the home need particular attention and care. They must be provided with food, beverages, and medicine as soon as possible. Due of most owners' hectic lifestyles, this job may not be as easy as anticipated. Inadequate attention to the requirements of pets may have serious consequences such as hunger and illness, among other things. In light of the above, this paper presents an Internet of Things-based automated feeder system that use the Raspberry Pi for remote control, scheduling, and intelligence. Its design and subsequent execution are anticipated to at least take care of the nutritional aspects of pets by delivering food, beverages, and medicine to pets on a schedule or as needed in the absence of the owner. As a result, the goal of this study is to automate the monitoring and feeding procedure, which is now done manually by pet owners. The four-wheeled system allows it to effortlessly climb stairs. Because of its body weight, the mechanism generates traction. The robot has applications such as remote feeding of every kind of animal from afar, remote exploration of the house to deceive thieves into believing someone is at home. It also lets you customise daily meals, keep your pet secure while you are away from home, store up to 7 pound, keep food fresh, and monitor your pet's nutrition. The robot may also prevent a person from eating a particular meal while allowing other animals to access the food. All these features attract owners of more than one animal to the robot.

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