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6 articles for “Barcode Detection”
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Design of an ArUco Marker-Guided Smart Trolley with Integrated Billing Estimation
Abstract: The growing adoption of automation in retail environments has increased the need for intelligent systems that improve user convenience and reduce manual effort. This paper presents the design and development of a human-following smart shopping trolley with an integrated automatic billing system based on computer vision. The proposed system employs ArUco marker–based human tracking to achieve reliable and real-time following behaviour. A Raspberry Pi serves as the central processing unit, …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 Read article
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Uses of Nanotechnology in Medical Diagnostic Applications
Abstract: Nanoparticle and nanodevice is a boon for mankind to treat and deal with disease and medical diagnosis respectively. Nanotechnology is formed by the unity of chemistry, engineering, biology and medicine restricted to the nanoscale (about 1–100 nanometer (nm)). For example, early detection of malignant tumors and cancer biomarkers, which is impossible using conventional technologies. In here we will discuss nanosized sensors to identify different pathological parameters, foreign antigen and toxic …
Published in Research and Reviews : A Journal of Medical Science and Technology Read article
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Automated Shopping Trolley with Billing System
Abstract: The Smart Trolley Billing System is a modern solution created to simplify and speed up shopping by automating the billing process, reducing manual effort and saving time for customers. It enhances the overall shopping experience by streamlining checkout and improving efficiency in retail environments through smart technology integration. This system utilizes RFID technology, Arduino microcontrollers, an LCD display, and a push-button mechanism to manage the trolley’s movement. These components work …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 11–17 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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Emerging Challenges in RFID in Library: A Review
Abstract: A library is a living, breathing entity. Because of the advancement of the Internet and new information technology, library and information workers now have tremendous potential. RFID (Radio Frequency Identification), the pinnacle of ubiquitous computer technology, has long been the talk of the town and is employed by a variety of organizations, including libraries and information centers. RFID is a cutting-edge automated library technology that automatically identifies and tracks library …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 1, 2024 Read article
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Fingerprint and Face Recognition Based Attendance System for Exams
Abstract: In educational institutions, managing attendance efficiently and accurately is pivotal for ensuring academic integrity and administrative effectiveness. Traditional attendance tracking techniques, including human roll calls or barcode scanning, are laborious, error-prone, and vulnerable to fraud. Traditional methods of keeping track of attendance, including sign-in sheets and physical roll calls, are often time-consuming, prone to errors, and lack the security measures needed in many contemporary settings. Modern biometric technologies have made …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 3, 2024 · pp. 26–33 Read article