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Artykuły w czasopismach na temat „Google ML Kit”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Kristianto, Ryan Putranda, Edwin Alexander, Yulia Wahyuningsih, Yosefina Finsensia Riti, Stephanus Surijadarma Tandjung, and Andre Hartanto. "Perancangan Aplikasi Android Katalog Buku Dengan Fitur Barcode Scanner Menggunakan Google ML Kit." Center for Sustainable Development Studies Journal (Jurnal CSDS) 1, no. 1 (2022): 9–14. http://dx.doi.org/10.37477/csds.v1i1.368.

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Teknologi Barcode Scanner merupakan teknologi lama dimana terdapat device khusus untuk melakukan scanning barcode atau QR Code. Namun apabila dikombinasikan dengan sebuah aplikasi ber-platform mobile khususnya Android, diperlukan sebuah teknologi khusus untuk mewadahinya yaitu teknologi Google ML Kit. Pada tulisan ini dijelaskan perancangan aplikasi katalog buku dengan fitur Barcode Scanner menggunakan Google ML Kit, dimana fitur Barcode Scanner tersebut digunakan untuk melakukan pencarian data katalog buku.

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Hartanto, Budi, Bramasto Wiryawan Yudanto, and Kustanto Kustanto. "IMPLEMENTASI GOOGLE ML KIT UNTUK LIVENESS DETECTION DALAM SISTEM FACE RECOGNITION: ANALISIS KINERJA DAN KEAMANAN PADA APLIKASI MOBILE." Biner : Jurnal Ilmiah Informatika dan Komputer 4, no. 1 (2025): 32–38. https://doi.org/10.32699/biner.v4i1.8870.

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Penelitian ini mengkaji implementasi Google ML Kit untuk deteksi liveness dalam sistem pengenalan wajah pada aplikasi mobile dengan tujuan untuk meningkatkan keamanan aplikasi dan mencegah ancaman spoofing. Pengenalan wajah telah banyak diterapkan dalam berbagai aplikasi, namun kerentanannya terhadap serangan menggunakan foto atau video statis menimbulkan tantangan besar dalam hal keamanan. Oleh karena itu, deteksi liveness yang mengidentifikasi apakah wajah yang dikenali merupakan wajah hidup menjadi sangat penting. Penelitian ini fokus pada integrasi teknologi liveness detection dalam pengen

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Brendiz Allain Alamil, Kristine Nazareno, Zinnielle Ann Santos, Joey Chua, and Eliza Ayo. "Development of MiniXplorer: An image recognition mobile application using google machine learning kit and text-to-speech integration." World Journal of Advanced Research and Reviews 25, no. 2 (2025): 899–911. https://doi.org/10.30574/wjarr.2025.25.2.0421.

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This study presents the development and evaluation of MiniXplorer, a mobile learning application designed for children that integrates Google’s Machine Learning Kit (ML Kit) for real-time image recognition and Text-to-Speech (TTS) technology for auditory feedback. Employing a mixed-method descriptive developmental approach, the research combined interviews, surveys, observations, and data analysis to assess the application’s functionality, performance, and user experience holistically. Technical evaluations revealed MiniXplorer’s robust image processing capabilities across diverse parameters:

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Alan, Beno, Krishnan Akshay, U. Aswanth, Rizwi Saeed, and M. P. Ambili. "FitQuest – Personal Fitness App." Recent Trends in Computer Graphics and Multimedia Technology 7, no. 3 (2025): 12–15. https://doi.org/10.5281/zenodo.15516962.

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<em>FitQuest is a fitness app designed to make home workouts more engaging by incorporating gamification elements. It tailors’ exercises such as squats and pushups, offering real-time feedback on form using Google's ML Kit for posture detection. The app boosts user motivation with rewards, progress tracking, and social interactions like challenges. Its development employs user-centered design principles and continuous improvement based on testing. The effectiveness of FitQuest will be assessed through user participation and adherence metrics, with future enhancements planned for AIpowere

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Ahmad, Fajar Abdillah, and Nunik Pratiwi. "Implementation of Face Recognition, Attendance Detection, and Geolocation using TensorFlow Lite and Google ML Kit in a Mobile Attendance Application." SISTEMASI 14, no. 1 (2025): 172. https://doi.org/10.32520/stmsi.v14i1.4775.

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G,, Anvith. "Talking Fingers: A Multilingual Speech-to-Sign Language Converter." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40782.

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Communication is a basic human need, but thousands of people with hearing and speech impairments face limitations in everyday communication "Talking Fingers" is a modern assistive technology tool that transfers spoken or written language to Indian Sign Language (ISL). With multilingual capabilities, the tool provides technologies such as Google ML Kit for language recognition, MyMemory API for translation, ISL grammar services for more than one language and several languages accessible at a time Translated ISL will, a it provides a simple and powerful communication channel. The system outlines

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Nakhate, Sarthak. "“A Machine Learning Approach to Assessing Packaged Food Healthiness and Recommending Healthier Alternatives via Mobile Application”." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50301.

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Abstract - This research presents an AI-powered Android application designed to assess the healthiness of packaged food products and offer healthier alternatives based on nutritional data. Users can scan barcodes to retrieve product information via the OpenFoodFacts API, including details such as sugar, fat, and salt content. The application evaluates these values using a machine learning model, predicting a health score out of 100. A key innovation of this system is its ability to recommend alternative products that score higher in health value, aligning with the user's dietary preferences an

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Abadi, Adelano Nur, and Farida Ardiani. "PERANCANGAN SISTEM INFORMASI MANAJEMEN STOK DAN PENJUALAN BUKU BERBASIS ANDROID PADA MUSI BOOKSTORE." Djtechno: Jurnal Teknologi Informasi 5, no. 3 (2024): 570–83. https://doi.org/10.46576/djtechno.v5i3.5229.

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Pengelolaan toko buku secara digital sangat diperlukan untuk meningkatkan efisiensi dan kualitas pelayanan, terutama dalam era digital yang semakin berkembang. Penelitian ini bertujuan untuk mengembangkan aplikasi mobile berbasis Android yang dapat membantu manajemen stok dan transaksi penjualan dengan fitur pemindaian barcode menggunakan teknologi Google ML Kit. Fitur utama dari aplikasi ini adalah kemampuan untuk memindai barcode secara real-time, yang mempercepat proses pengelolaan stok dan memungkinkan pengidentifikasian buku secara otomatis tanpa proses manual yang memakan waktu. Metode p

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Abdullah, Fahmi Fauzi, and Soffiana Agustin. "PENERAPAN BIOMETRIC FACE RECOGNITION MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK PADA APLIKASI BERBASIS ANDROID." INDEXIA 6, no. 1 (2024): 1. http://dx.doi.org/10.30587/indexia.v6i1.4958.

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A security system with a high level of accuracy is needed to prevent data leakage, one way to prevent data leakage is to implement a face recognition biometric security system in a login system. In this study, the application of face recognition was carried out in the online workshop application login system (Mecha). The implementation is carried out using the Convolutional Neural Network method which is applied to android-based applications using tensorflow lite by adding assets with the .tflite extension to the Android Studio Integrated Development Environment (IDE) as well as the Google ML

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La Fauci De Leo, Andrea, Pooneh Bagheri Zadeh, Kiran Voderhobli, and Akbar Sheikh Akbari. "A New AI Framework to Support Social-Emotional Skills and Emotion Awareness in Children with Autism Spectrum Disorder." Computers 14, no. 7 (2025): 292. https://doi.org/10.3390/computers14070292.

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This research highlights the importance of Emotion Aware Technologies (EAT) and their implementation in serious games to assist children with Autism Spectrum Disorder (ASD) in developing social-emotional skills. As AI is gaining popularity, such tools can be used in mobile applications as invaluable teaching tools. In this paper, a new AI framework application is discussed that will help children with ASD develop efficient social-emotional skills. It uses the Jetpack Compose framework and Google Cloud Vision API as emotion-aware technology. The framework is developed with two main features des

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Batubulan, Kadek Suarjuna, Nobuo Funabiki, Komang Candra Brata, I. Nyoman Darma Kotama, Htoo Htoo Sandi Kyaw, and Shintami Chusnul Hidayati. "A Map Information Collection Tool for a Pedestrian Navigation System Using Smartphone." Information 16, no. 7 (2025): 588. https://doi.org/10.3390/info16070588.

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Nowadays, a pedestrian navigation system using a smartphone has become popular as a useful tool to reach an unknown destination. When the destination is the office of a person, a detailed map information is necessary on the target area such as the room number and location inside the building. The information can be collected from various sources including Google maps, websites for the building, and images of signs. In this paper, we propose a map information collection tool for a pedestrian navigation system. To improve the accuracy and completeness of information, it works with the four steps

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Dipali Ghatge, Sharvari Deshmukh, Ankita Gaikwad, Kaustubh Iparkar, and Anuj Mane. "Virtual Jewellery Try-On: Enhancing Consumer Engagement and Personalization." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 12 (2024): 2811–15. https://doi.org/10.47392/irjaeh.2024.0388.

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This study presents a mobile-based augmented reality (AR) solution for virtual jewelry try-on, designed to enhance the e-commerce user experience by enabling customers to visualize and interact with jewelry in real time. The system employs Google ML Kit for real-time pose detection and tracking of body landmarks such as shoulders and fingers. By integrating Flutter-based modules with machine learning models, the application achieves accurate overlay of virtual jewelry on detected positions. Interactive gesture-based controls, including tap-to-place, scaling, and rotation, allow users to custom

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Nilima Chapke, Navneet Raj, Sunil Gupta, and Kamal Vaishnav. "IC scanner and recommendation." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 305–11. https://doi.org/10.30574/wjaets.2025.15.2.0542.

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Modern electronic devices heavily rely on integrated circuits (ICs) and their effective testing and verification is essential for maintaining system dependability. This IC Tester and Recommendation System mobile application helps users to identify information about ICs. It utilizes Optical Character Recognition (OCR) through Google ML Kit to extract imaged IC model numbers and look them up against a stored database for accurate identification. The app is made on Flutter which helps easy use on many devices and customizability with simple design change implementation. This study looks at IC tes

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Pathak, Kavita, Shreya Saraf, Sayali Wagh, and Dr Saroja Vishwanath. "OCR Studymate." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 2241–46. http://dx.doi.org/10.22214/ijraset.2022.41103.

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Abstract: As we are familiar that there are many languages around the world, which many of us might even not be aware of but due to globalization and digitalization we have got to see and learn many languages. During those days of colonization, English became an integral part of many people’s language and still continues to be in dominance. Hence, inarguably English is one of the prominent languages that is spoken worldwide. But we also cannot deny the fact that there are still many people across the world who aren’t familiar with this language and face difficulties when most of the texts are

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Hurri, E., A. Johannisson, I. Lim-Verde, and J. M. Morrell. "14 Sperm membrane integrity in ejaculates from young bulls may be improved by single-layer centrifugation." Reproduction, Fertility and Development 31, no. 1 (2019): 133. http://dx.doi.org/10.1071/rdv31n1ab14.

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Sperm quality in the first ejaculates of young bulls is often poor, leading to rejection of these samples for commercial freezing. It may be several weeks before sperm quality reaches the thresholds regarded as being acceptable for commercial production. Single-layer centrifugation (SLC) has been shown to separate robust bull spermatozoa from the rest of the ejaculate (Goodla et al. 2015 J. Dairy Sci. 97, 2204-2212; Nongbua et al. 2017 Reprod Domest. Anim. 52, 596-602). The aim of this study was to test whether SLC can be used to select spermatozoa from the ejaculates of young bulls and thus f

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Sun, Lingyun, Yuyang Zhang, Zhuoshu Li, Zihong Zhou, and Zhibin Zhou. "inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 36 (2022). http://dx.doi.org/10.1017/s0890060421000391.

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Abstract Machine learning (ML) is increasingly used to enhance intelligent products in the field of product design. However, ML has a never-ending lifecycle in which its capabilities and technical properties iteratively change as new annotated data are utilized. The never-ending lifecycle of ML (which includes data annotation, model training, and other steps) has led to challenges to the prototyping of ML-enhanced products and requires a high level of ML literacy in designers. To facilitate the prototyping of ML-enhanced products and improve the ML literacy of designers, we draw inspiration fr

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КОСТАРЕВ, КИРИЛЛ ПАВЛОВИЧ. "АНАЛИТИЧЕСКИЙ ОБЗОР ИНСТРУМЕНТАЛЬНЫХ СРЕДСТВ РАЗРАБОТКИ МАШИННОГО ОБУЧЕНИЯ В МОБИЛЬНЫХ ПРИЛОЖЕНИЯХ". Наукосфера №3 (2), 2024., 27 березня 2024. https://doi.org/10.5281/zenodo.10886678.

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<em>В статье рассмотрены задачи, решаемые в современных мобильных приложениях с помощью машинного обучения. Представлено введение в машинное обучение, проведен аналитический обзор инструментов для разработки мобильных приложений на основе машинного обучения, а также описаны ограничения, связанные с применением этой технологии. Анализ охватывает коммерческие инструменты от компаний, таких как Apple и Google, а также проекты с открытым исходным кодом. В результате выявлено, что Core ML наиболее подходит для операционной системы iOS, а ML Kit – для Android. На основе анализа сформулированы

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Ghule, Balaji G., Minkyeong Kim, and Ji‐Hyun Jang. "Predicting photoresist sensitivity using machine learning." Bulletin of the Korean Chemical Society, August 23, 2023. http://dx.doi.org/10.1002/bkcs.12776.

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AbstractWe introduce a scheme for predicting photoresist sensitivity using machine learning (ML) work flow on the basis of previously reported experimental data. Different ML models, specifically Linear Regression, Kernel Ridge Regression, Gaussian Process Regressor, Random Forest Regressor, and Multilayer Perceptron Regressor, were evaluated to rapidly identify the best sensitivity prediction model. The experiment was carried out on the Google Colab platform using the Materials Simulation Toolkit for Machine Learning and Sci‐kit Learn. Different ensemble models were utilized without splitting

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Manoj, Abraham D.S Jingle Jabha D.F Joselin R. Sowmya R. Madhavan K. M. "Face Recognition Based Attendance System in Android." July 15, 2024. https://doi.org/10.5281/zenodo.12744823.

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Attendance is an important one in schools and colleges, but still in many schools and colleges the method of taking the attendance is not efficient. Attendance is taken by calling the name of the students and mark their presence or absence manually in a ledger which is time consuming and requires more manual work. Face recognition is one of great ways of identifying a person. To take attendance in an efficient way I propose an android application in which, first all students face will be registered then faculty just need to take a photo of the classroom from the photo students faces will be id

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Nachmani, Omri, Tomas Saun, Minh Huynh, Christopher R. Forrest, and Mark McRae. "“Facekit”—Toward an Automated Facial Analysis App Using a Machine Learning–Derived Facial Recognition Algorithm." Plastic Surgery, January 24, 2022, 229255032110738. http://dx.doi.org/10.1177/22925503211073843.

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Introduction: Multiple tools have been developed for facial feature measurements and analysis using facial recognition machine learning techniques. However, several challenges remain before these will be useful in the clinical context for reconstructive and aesthetic plastic surgery. Smartphone-based applications utilizing open-access machine learning tools can be rapidly developed, deployed, and tested for use in clinical settings. This research compares a smartphone-based facial recognition algorithm to direct and digital measurement performance for use in facial analysis. Methods: Facekit i

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Badkas, Suvarn, Deep Desai, and Harshrajsinh Jadav. "Camshot-Hand Written Text Recognition and Object Detection Application." International Journal of Scientific Research in Computer Science, Engineering and Information Technology, April 1, 2020, 276–82. http://dx.doi.org/10.32628/cseit206282.

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Text recognition is a technology which has ability to recognize text from images automatically developed in computer device. Tremendous demand is seen for storing the information available in physical papers into a storage disks and can be reuse this data by searching process. A simple way is to scan documents and store it as image. But reusing this data is becomes difficult to read contents and search these documents line by line or word by word. Quality of images and font characteristics of paper are main concerns. Computer devices are unable to identify these characters while reading them.

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Diemientiev, Yevhenii, and Olena Semenikhina. "Development of Mobile Applications Based on Artificial Intelligence: Current Experience and Prospects." Current Science Research Bulletin 02, no. 06 (2025). https://doi.org/10.55677/csrb/04-v02i06y2025.

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This article explores contemporary approaches to the development of mobile applications using artificial intelligence (AI) technologies. It presents a comparative analysis of available tools and frameworks and outlines key directions for their future advancement. The relevance of this study is driven by the rapid growth in demand for intelligent mobile services and the need to systematize practices that combine automation, personalization, and autonomous data processing. The aim of the research is to summarize current practices and identify prospects for the development of AI-based mobile appl

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Scurt, Florian G., Ben Hammoud, Katrin Bose, Peter R. Mertens, and Christos Chatzikyrkou. "Short-, Mid-, and Long-term Outcomes after Deceased Donor Kidney Transplantation in Patients with Acute Kidney Injury." Kidney360, April 26, 2024. http://dx.doi.org/10.34067/kid.0000000000000450.

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Background Acute kidney injury (AKI) is a common complication in hospitalized patients and may occur in potential kidney donors. Observational studies have suggested that kidney transplantation in patients with AKI is feasible and safe, but no systematic evaluation has been performed. Methods We performed a systematic review and meta-analysis to evaluate the outcomes of kidney transplantation in patients with AKI. We searched MEDLINE, EMBASE, Cochrane, Google Scholar, and other databases for studies reporting outcomes of donor kidneys with AKI. We included single-center, multicenter, and regis

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Kojo, Kosuke, Tomoko Oguri, Takazo Tanaka, et al. "Seminal plasma metallomics: a new horizon for diagnosing and managing male infertility." Revista Internacional de Andrología 23, Published Ahead of Print (2025). https://doi.org/10.22514/j.androl.2025.013.

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The authors, Kosuke Kojo and Tomoko Oguri, contributed equally. This HTML edition is publicly accessible at the following URL:https://academic298uro.github.io/open-archive/2025/seminal-plasma-metallomics-new-horizon/ Abstract Seminal plasma contains a wide range of biomolecules—including inorganic elements—that may significantly influence male reproductive function. Historically, semen analysis has focused on sperm count and motility, while overlooking the diagnostic potential of this acellular fraction. This narrative review synthesizes historical perspectives on seminal plasma me

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