Mikroskop cahaya dapat digunakan untuk melakukan magnifikasi dan melihat objek mikroskopis seperti bakteri, virus, atau sel untuk tujuan diagnosis suatu penyakit. Dalam melakukan pengamatan ...berdasarkan jumlah sampel yang banyak, ahli laboratorium rentan terhadap kelelahan, kesalahan, dan subjektivitas pengamatan. Oleh karena itu, kamera digital, komputer mini raspberry pi, layar liquid crystal display (LCD), motor stepper, catu daya dan bahasa pemrograman python digunakan sebagai komponen pendukung mikroskop cahaya untuk mengakusisi sampel laboratorium yang diamati dalam format digital sehingga dapat dilakukan operasi pengolahan citra pada raspberry pi dan ditampilkan hasilnya di layar LCD. Sedangkan motor stepper dan driver motor digunakan untuk menggeser meja sampel secara otomatis. Semua proses ini dilakukan dengan menggunakan bahasa pemrograman python. Hal ini dilakukan dengan tujuan untuk mengurangi beban pengamat dalam melihat dan menggeser slide sampel sebanyak 100 kali. Sistem akuisisi citra digital dan penggeseran meja sampel otomatis ini dirancang pada mikroskop cahaya portabel mampu meng-capture sampel pada kaca preparat menjadi citra digital, menggeser kaca preparat 100 kali, dan dilengkapi dengan catu daya 220 Volt sehingga dapat digunakan di fasilitas kesehatan manapun di Indonesia. Mikroskop digital, otomatis, dan portabel berbasis platform komputer mini raspberry pi ini dapat digunakan untuk melakukan pemeriksaan laboratorium berbagai penyakit seperti tuberculosis, malaria, atau leukimia dengan efisien dan efektif sehingga dapat mempermudah proses diagnosis penyakit dan dapat meningkatkan layanan kesehatan di berbagai daerah di Indonesia dan berkontribusi dalam penurunan dan eliminasi berbagai penyakit.
An Aquaculture delivers more protein to address worldwide yearning, bolster the economy, make more occupations and furthermore uses our assets all the more productively, amplifying the utilization of ...our territory and water. About portion of the world's fish is an aftereffect of aquaculture. The water quality in aquaculture is checked utilizing sensors to guarantee development and survival of oceanic life. The detected information is exchanged to web utilizing Raspberry pi module. The framework naturally evacuates the waste water and fills the crisp water utilizing engine siphon.
In this book, you will be working closely with the IoT solution stack with Javascript. You will create IoT applications using Raspberry Pi 3, JavaScript & Cloud Computing, and control various sensors ...and actuators using a Web app, Mobile app, Desktop app & Amazon Alexa based voice commands.
Terobosan teknologi sistem pengenalan biometrik saat ini berkembang dengan pesat dan sangat mempermudah urusan seperti pengenalan identitas atau validasi identitas, serta tidak jarang perusahaan dan ...institusi lain yang umum menerapkan sistem pengenalan berbasis biometrik manusia seperti sidik jari, pola telapak tangan, wajah, ataupun iris mata. Sebuah sistem pengenalan biometrik memiliki kelebihan dan tentunya beberapa keterbatasan dalam hal performa dan kenyamanan. Pengenalan sidik jari dan telapak tangan mengharuskan pengguna untuk menyentuh permukaan sensor. Dengan cara ini, pengguna dapat merasa tidak nyaman dan risiko penyebaran virus atau bakteri sangat tinggi, juga akurasi pendeteksian dapat dipengaruhi oleh faktor-faktor seperti kulit berkeringat dan kering serta distorsi kulit. Oleh karena itu pada penelitian ini akan mengusung judul Rancang Bangun Alat Pengenal Finger Vein Menggunakan Raspberry Pi Dengan Metode Convolutional Neural Network (CNN). Penelitian ini menggunakan sistem berbasis Raspberry Pi 4 dengan bantuan IR LED dan webcam untuk proses akusisi data citra pembuluh darah jari, yang diharapkan mampu melakukan proses pengenalan Finger Vein lebih cepat, dan penggunaan metode Convolutional Neural Network yang sudah teruji untuk menghasilkan akurasi yang lebih baik dengan proses Deep Learning. Dari 30 data yang digunakan sebagai penguji sistem bersama perangkat lunak dan perangkat keras tertanam, akurasinya mencapai 96,66%.
Abstract
Breakthrough in biometric recognition system technology is currently growing rapidly and greatly facilitates matters such as identity recognition or identity validation, and it is not uncommon for companies and other institutions to implement human biometric-based recognition systems such as fingerprints, palm patterns, faces, or irises. A biometric recognition system has advantages and certainly some limitations in terms of performance and convenience. Fingerprint and palm recognition requires the user to touch the surface of the sensor. In this way, users can feel uncomfortable and the risk of spreading viruses or bacteria is very high, also the detection accuracy can be affected by factors such as sweaty and dry skin and skin distortion. Therefore, this study will carry the title Design a Finger Vein Recognition Tool Using Raspberry Pi with the Convolutional Neural Network (CNN) Method. This research uses a Raspberry Pi 4-based system with the help of IR LEDs and webcams for the acquisition process of finger blood vessel image data, which is expected to be able to carry out the Finger Vein recognition process faster, and the use of the proven Convolutional Neural Network method to produce better accuracy with the Deep Learning process. Of the 30 data used as system testers alongside embedded software and hardware, the accuracy reached 96.66%.
the process of borrowing and returning library books usually requires a librarian to go through this process, of course this requirement can cause delays in returning books due to library holidays ...and the difference in free hours from the library and library members. so this research aims to make it easy for library members to be able to return books independently using a storage box that can be done by the system. in this book return box using a raspberry pi 3b+ as a data processing center and using the pi camera to capture the book cover made on the book return box. the security system in this return box uses a selenoid door lock as an automatic door lock which will be routed by a relay and uses rfid as the identity of books, members and librarians. in this study the system can store and return books using the K-Nearest Neighbor (KNN) method with an accuracy of 95% with a processing time of 6.9s
The article discuss about designing a Raspberry Pi 3-Based OHP Temperature Calibrator. This device used to callibrate temperature measurement device with GUI-based (Graphic User Interface). The ...device has been programmed on Raspberry Pi 3 with Python programming language. This research was done by and recycled over head projector (OHP), designing and conducting sensory characterization analysis and uncertainty analysis on temperature calibrator. The method used in this research is heuristic method, where this method is used in sensor characterization analysis. After the characterization done, obtaining the specifications of each sensor, temperature calibrator instrument then tested to determine the amount of uncertainty of the instrument that has been designed. The result of the homogeneity for fifth test points are 6 °C, 5 °C, 5 °C, 8 °C, and 16 °C. The results of the sensor characterization test show that the accuracy and precision of all sensors are more than 99%. The sensitivity values for the four sensors are 11.68 mV /°C, 12.34 mV /°C, 11.24 mV /° C, and 11.50 mV /° C. The correlations and linearity of all sensors are more than 97% also. And the response of time of the four sensors to the heat source are 1.61 °C/s, 1.13°C/s, 1.17 ° C / s, 1.00 °C/s. the uncertainties for sensor 1 are (132 ± 0.7)°C, sensor 2 (132 ± 0.6)°C, sensor 3 (132 ± 0.7)°C, and sensor 4 (132 ± 0.7)°C. Based on the research, it can be concluded that Raspberry Pi based temperature calibrator instrument has a good accuracy level, and the effective temperature for calibration is at maximum temperature, that is 132°C.
The proposed climate monitoring system aims to address the substantial risks to human health, climate stability, and ecological balance posed by air pollution, utilizing Raspberry Pi as a central ...procession unit and integrating various sensors which also incorporate sensors to measure the concentrations of PM1, PM2.5, PM10, and black carbon. This method meets the need for effective and immediate air quality monitoring and offers useful information to communities, academics, and policy makers. Through IoT connectivity, the gathered data are sent to a cloud-based platform for analysis and visualization. The system offers a user-friendly interface that presents actionable insights for informed decision making. Its warning capabilities alert users when pollution levels exceed thresholds, and this system also contributes to a comprehensive understanding of air pollution. By measuring particulate matter and black carbon levels, it supports the development of effective air quality management strategies. The system helps to take proactive measures and create cleaner and healthier environments. In conclusion, the proposed climate monitoring system utilizing Raspberry Pi, sensors, IoT connectivity, and machine learning techniques offers an effective and real-time solution for monitoring air quality. The integration of IoT connectivity allows for remote access to air quality data, while machine learning algorithms analyze the data and initiate alerts.
As the usage of vehicles is increasing day by day, it became difficult to identify a proper parking space for every vehicle. Smart Parking System deals with development of mobile application, that is ...useful for user to access detailed information about parking space and managing it efficiently in parking lot. Smart Parking System uses Image Processing technique to identify registration plate of a vehicle and also provides autonomous door opening and closing operation whenever it detects a vehicle at entrance of a parking lot. The mobile application provides information about available parking spaces, security and safety features of parking lot like fire and gas leakages alert. Raspberry Pi is the control unit which controls and processes the whole operation of the system. Liquid crystal display (LCD) display is located at entry point of the parking lot to display current parking space availability. Infrared (IR) proximity sensors are employed to identify the existence of vehicle at the entry gate of parking lot. From the captured image, characters from vehicle registration plate can be identified, and then Raspberry Pi sends a signal to servo motor to open the gate for a specified interval of time. The user will then park the vehicle in the available parking slot. When the user wants to leave the space and moved the vehicle, the date and time information will be captured which will be further used for processing the bill.
Since the emergence of the Coronavirus and its declaration as a global pandemic, the world has changed all sectors radically. Covid-19 has caused a very strong effect on daily life and adaptation to ...new ways of learning, working, and communicating. The smart city is one of the most important solutions that enable us to go on with daily life during the pandemic and beyond. The smart city employs the current technology and smart solutions to serve the community, and improve the services provided to the people, particularly in vital sectors such as health, education, electricity, transportation, communications, and others. This article deals with two innovative applications for the Internet of things in smart cities: The first refers to designing an intelligent health monitoring system, which aims to reduce the spread of Coronavirus infection from people to the medical staff, as well as reduce work pressure on the medical staff. The second application refers to monitoring electrical energy consumed by measuring and monitoring electrical parameters and energy consumption. In addition, it helps us to know the power line trespasser. Both systems are implemented by using sensors to gather data in real-time and then transmit it to the server.
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