Barcode Scanning Research Articles

Student Attendance using RFID System

An RFID-based attendance system leverages radio frequency identification technology to streamline and automate the process of tracking attendance in various settings, such as schools, workplaces, and events. This system utilizes RFID tags, which are small electronic devices containing unique identification codes, embedded in cards or badges assigned to individuals. When a person with an RFID-enabled badge enters a designated area, RFID readers detect their presence by wirelessly communicating with the tags. This information is then transmitted to a central database or software system, where attendance records are automatically updated in real-time. Compared to traditional methods like manual entry or barcode scanning, RFID-based systems offer greater efficiency, accuracy, and convenience, reducing administrative burden and eliminating possibilities of human error. Additionally, they provide valuable data insights for monitoring attendance patterns, enhancing security, and optimizing resource allocation.

Smart AI Powered Auto Bill generation using Deep Learning and IOT

[1]. Smart shopping cart: In [1] this paper the author designed system for shopping mall. The system is placed in the trolleys. It consists of RFID reader and each product has RFID tag. The billing is done in smart trolley itself. Product name and its price display on LCD screen. At the cash counter the total bill relocated to Personal Computer by wireless Radio Frequency module. The disadvantage of this scheme is after completion of shopping, a key is pressed indicating the final promoting amount of the entire item, and we can’t add or remove the products. [2]. Innovative shopping cart:In [2] this paper the author designed system for shopping mall. In this paper they developed a smart way for shopping. In every item has RFID tag in its place of barcode scanner. The smart trolley involves of RFID reader LCD screen and ZigBee transmitter. The sum total cost of all the products will be added to the final bill, which will be kept in the microcontroller memory. Drawback of the system is in ZigBee there is distance barrier is occurred. [3]. Smart trolley using Arduino: In [3], this paper the author invented such a system it consists of RFID, ARM7, Display, Power supply, Switch, IR sensor pair, Barcode reader Visual Basics. The system works as the inventor use the barcode reader as well as RFID. And our shopping is done through the serial communication we transferred the total bill to the counter for printing the hardcopy of the product bill. There is also facility for the payment is credit card or any other. The drawback of the system is their uses both the reader RFID and Barcode Reader because of that the system becomes more multifaceted. [4]. RFID based advanced shopping trolley for super market: In this paper the author found such a system it consists of GSM, RFID, Automatic Billing, OTP, ZIGBEE, and PIC. In this scheme, the item can be read by the reader and the total of the Item is showed on the LED screen they categorized this paper because they added some additional features in the existing system like in this system the product weight and the name shown on display if item weight is less than stored weight then buzzer will beep.

Lateness of Acetaminophen and Non-steroidal Anti-inflammatory Drug Administrations in a Retrospective Cohort of Medication Administration Records Among Patients After Cesarean Delivery.

In an earlier study of patients after cesarean delivery, the concurrent versus alternating administration of acetaminophen and non-steroidal anti-inflammatory drugs was associated with a substantial reduction in total postoperative opioid use. This likely pharmacodynamic effect may differ if the times when nurses administer acetaminophen and non-steroidal anti-inflammatory drugs often differ substantively from when they are due. Weexamined the "lateness" of analgesic dose administration times, the positive difference ifadministered late, and the negative value ifearly. The retrospective cohort study used all 67,900 medication administration records for scheduled (i.e., not "as needed") acetaminophen, ibuprofen, and ketorolac among all 3,163 cesarean delivery cases at the University of Iowa between January 2021 and December 2023. Barcode scanning at the patient's bedside was used right before each medication administration. There were 95% of doses administered over a 4.8-hour window, from 108 minutes early (97.5% one-sided upper confidence limit 105 minutes early) to 181 minutes late (97.5% one-sided lower limit 179 minutes late). Fewer than half of doses (46%, P <0.0001) were administered ±30minutes of the due time. The intraclass correlation coefficient was approximately 0.11, showing that there were small systematic differences among patients. There likewise were small to no systematic differences in lateness based on concurrent administrations ofacetaminophen and ibuprofen or ketorolac, time of the day that medications were due, weekday, year, or number of medications to be administered among all such patients within 15 minutes. Other hospitals should check the lateness of medication administration when that would change their ability to perform or apply the results of analgesic clinical trials (e.g., simultaneous versus alternating administration).

Identifying Fake Products through a Barcode based Blockchain System

Abstract: Counterfeit products pose a significant threat to consumers, businesses, and economies worldwide. Traditional methods of authentication often fall short in effectively combating this issue. In response, this paper proposes a novel approach utilizing a barcode based blockchain system to authenticate products and detect counterfeit items. By integrating blockchain technology with barcode scanning, consumers and retailers can verify the authenticity of products throughout the supply chain. The system employs smart contracts to record product information and transactions securely, providing a transparent and immutable record of each item's journey. Through this approach, stakeholders can mitigate the risks associated with counterfeit goods, safeguard brand reputation, and enhance consumer trust. This paper outlines the architecture of the proposed system, discusses its potential benefits, and addresses implementation challenges. Furthermore, it explores the implications of integrating blockchain technology with barcode scanning for combating counterfeit products and enhancing supply chain transparency

Bus Pass with Barcode Card Scan Code

Abstract: The "Bus Pass with Barcode Scan Project" aims to enhance the efficiency and security of bus transportation services by implementing a barcode-based pass system. This theoretical project focuses on the conceptual framework and key components required for the successful implementation of such a system. Implementing a secure and convenient bus pass system using barcode technology. Improves the accuracy and speed of passenger boarding by automating the pass verification process. Enhancing data management and analytics for better service planning and passenger experience. Developing a system for generating unique barcodesfor each bus pass holder. Ensures that the generated barcodes are tamper-proof and secure against duplication. Installing barcode scanners on buses to read the passenger's bus pass barcode. Ensures compatibility with various barcode types (e.g., QR codes, traditional barcodes). Creates a centralized database that store passenger information, including name, pass details, and barcode data. Implementing data encryption and security protocols to protect passenger information. Developing a mobile application for passengers to purchase, renew, or display their bus pass on their smartphones. Enabling easy scanning of the mobile app's barcode at the bus entry point.

Automated Artificial Intelligence–Based Thai Food Dietary Assessment System: Development and Validation

BackgroundDietary assessment is a fundamental component of nutrition research and plays a pivotal role in managing chronic diseases. Traditional dietary assessment methods, particularly in the context of Thai cuisine, often require extensive training and may lead to estimation errors. ObjectivesTo address these challenges, Institute of Nutrition, Mahidol University (INMU) iFood, an innovative artificial intelligence–based Thai food dietary assessment system, allows for estimating the nutritive values of dishes from food images. MethodsINMU iFood leverages state-of-the-art technology and integrates a validated automated Thai food analysis system. Users can use 3 distinct input methods: food image recognition, manual input, and a convenient barcode scanner. This versatility simplifies the tracking of dietary intake while maximizing data quality at the individual level. The core improvement in INMU iFood can be attributed to 2 key factors, namely, the replacement of Yolov4-tiny with Yolov7 and the expansion of noncarbohydrate source foods in the training image data set. ResultsThis combination significantly enhances the system’s ability to identify food items, especially in scenarios with closely packed food images, thus improving accuracy. Validation results showcase the superior performance of the INMU iFood integrated V7-based system over its predecessor, V4-based, with notable improvements in protein and fat estimation. Furthermore, INMU iFood addresses limitations by offering users the option to import additional food products via a barcode scanner, thus providing access to a vast database of nutritional information through Open Food Facts. This integration ensures users can track their dietary intake effectively, with expanded access to over 3000 food items added to or updated in the Open Food Facts database covering a wide variety of dietary choices. ConclusionsINMU iFood is a promising tool for researchers, health care professionals, and individuals seeking to monitor their dietary intake within the context of Thai cuisine and for ultimately promoting better health outcomes and facilitating nutrition-related research.

Lab Inventory Management using QR Code

Laboratory inventory management is vital for the efficient operation of scientific research institutions. Conventional inventory tracking methods often involve manual data entry, which can be error-prone and time-consuming, leading to operational inefficiencies and potential research disruptions. To address these challenges, this project introduces a Lab Inventory Management System (LIMS) that leverages QR code technology. The LIMS assigns unique QR codes to each laboratory item, encoding critical information such as item name, quantity, and expiration date. This technology enables mobile devices equipped with QR code scanners to facilitate real-time updates, eliminating manual data entry errors and ensuring the accuracy of inventory information. Furthermore, a centralized database supports data integrity and enables seamless integration with existing laboratory systems. The project's advantages include enhanced accuracy, significant time and cost savings, and streamlined workflow efficiency. However, the successful implementation of the LIMS necessitates careful planning and comprehensive user training to ensure a smooth transition to this innovative inventory management solution. Key Words: Automated, Scientific Research, Data Integrity, Data Visualization, Barcode Scanning

Automatic Drug Dispensing Machine for Aayush Medicines

A vital component of society is healthcare, which is being improved by governments employing cutting-edge methods. With the use of an automated drug dispenser machine for Aayush Medicine (ADMAM), patients can fill urgent care and emergency prescriptions after clinic hours, increasing efficiency and cutting down on the amount of time pharmacists must spend working. The card reader, paper outlet, drug outlet, and touch screen are among the mechanical components of the ADMAM, which blends electrical, mechanical, and user interface components with a frame layout. The microprocessor, which connects all electrical parts, harmonically controls the dispensing procedure. With a barcode scanner for drug selection and an RFID card for prescriptions, the ADMAM design prioritizes safety. The ADMAM is simple to use; they only need a card and password to take their prescription. The ADMAM's continued existence is essential for bolstering. Keywords: card reader, drug, Automatic Drug Dispenser Machine for Aayush Medicine.

Managing Household Food Waste with the FoodSaveShare Mobile Application

It is estimated that European households are responsible for 55% of food waste generation. Key factors contributing to household food waste generation include food spoilage, confusion over expiration dates, overbuying, and inadequate shopping planning. Thus, food waste prevention at the household level depends heavily on food supplies monitoring and management. To this end, during the last decade, several consumer-oriented digital tools have been designed and launched. A literature review showed that currently accessible digital tools are scarce and cover a narrow range of functionalities. Here, we address these issues by designing and launching a decision support tool implemented in a smart mobile phone application (app), the FoodSaveShare Mobile App. The application development followed a traditional client–server architecture using state-of-the-art software and hardware technologies. Additionally, a survey of 340 individuals was conducted to better understand end-user motivation for and barriers against adopting this and similar apps. The developed application combines user-provided data with a retailer loyalty program to leverage the integrated features for tracking shopping activities. The app features a household shopping list populated by product barcode scanning and manual entry. Based on food and packaging type, food products are assigned approximate expiration dates to issue product expiration reminders. For products about to expire, suggestions for their utilization are provided, drawing from a list of over 7000 recipes. Additional functionality allows users to identify products that have either been consumed in time or that need to be discarded. Analytical tools, such as past purchase and resources discarded versus resources saved statistics, offer comprehensive insight and encourage improved shopping and consumption practices. The FoodSaveShare App was launched during the A2UFood Project, which allowed an organised campaign for its use. The app was tested under real customer data and conditions, and selected features have been adopted by the largest supermarket chain on the Island of Crete, Greece. The potential end-user survey results suggest that, provided personal data use issues are addressed, such apps can have a significant impact on reducing household food waste. Future work will focus on analysing the datasets produced by the application to assess its impact on household food waste management.

Improving Immunization Health Care Data Quality using Two-Dimensional Barcoding and Barcode Scanning Practices.

Manual data entry is time-consuming, inefficient, and error prone. In contrast, leveraging two-dimensional (2D) barcodes and barcode scanning tools is a rapid and effective practice for automatically entering vaccine data accurately and completely. CDC pilots documented clinical and public health impacts of 2D barcode scanning practices on data quality and completeness, time savings, workflow efficiencies, and staff experience. Data entry practices and entered records from routine and mass vaccination settings were analyzed. Data quality improvement opportunities were identified. A sample of 50 million emergency use authorization (EUA) coronavirus disease 2019 (COVID-19) vaccine records were analyzed for accuracy and completeness across three data fields: lot number, expiration date, and National Drug Code (NDC). The EUA COVID-19 vaccines lacked a 2D barcode containing these data fields, which necessitated manual data entry at administration. A CDC pilot at clinic compared scanned and manually entered data for routine vaccines across these same data fields. Analysis of 50 million manually entered EUA COVID-19 vaccine administration records indicated significant gaps in data accuracy and completeness across three data fields. Over half of the analyzed EUA vaccine NDCs (53%) and one-third of the expiration dates (35%) had missing or inaccurate data recorded. Pilot data also showed many errors when manually entered. However, when the pilot's routine vaccines were scanned (out of 71,969 records), nearly all entries were complete and accurate across all three data fields (ranging from 99.7% to 99.999% accurate). Vaccine 2D barcode scanning practices increased data accuracy and completeness (up to 99.999% accurate) across data fields assessed. When used consistently, vaccine 2D barcode scanning can resolve issues demonstrated in manually entered data. To realize these benefits, the immunization community should widely use scanning practices. To increase use, CDC developed a Vaccine 2D Barcode National Adoption Strategy and implementation resources.

IoT-Based Barcode Scanning System for Production and Warehouse Management

This project aims to develop an IoT-based barcode scanning system using an ESP32 microcontroller and a GM-65 barcode reader for efficient production and warehouse management. The system facilitates automated and accurate barcode scanning, with the collected data transmitted to a web-based platform in real-time. The web interface provides users with comprehensive insights into production quantities and warehouse status, generating a detailed journal for traceability and accountability. This innovative solution offers businesses a streamlined approach to monitor and record production activities, ultimately optimizing the overall efficiency of production and warehouse management processes.

MediLog: A Pilot Study of Online Management System for Medical Device Status and Loan

Malaysia's medical device industry is experiencing significant growth, with 309,829 devices procured at a cost of RM 7.78 billion and actively utilized in public hospitals nationwide. This surge highlights the need for an advanced medical device management system to efficiently handle the life cycle of these devices to ensure optimal utilization and streamline operations. Other proposed technological solutions like RFID, RTLS, and infrared tags aim to address these challenges, but their high installation costs pose barriers, especially for government hospitals. To overcome these obstacles, this pilot study advocates for a mobile application as a cost-effective alternative for comprehensive medical data management. The proposed application, developed using MIT Apps, capitalizes on portability, ease of management, and the multifunctionality of mobile platforms. A key feature of the application is the barcode scanner, widely employed across industries for enhanced data capture efficiency. The Real-time Database is integrated into the project, facilitating the swift and accurate storage of medical device information. In essence, the mobile application prototype provides a practical solution to the limitations of manual data management in the biomedical department. Leveraging MIT Apps and incorporating features like the barcode scanner and Real-time Database, the application streamlines the updating of machine details, ensuring users access precise and current information. This approach promotes efficiency, accuracy, and effectiveness in medical device management within the healthcare system.

Desktop Application for Traceability System on The Printed Circuit Board (PCB) Storage Process

This paper discusses the development of desktop applications for traceability systems. The application was developed to facilitate data recording and tracking in an electronics manufacturing company's storage process of Printed Circuit Board (PCB) products. The application is developed using the Visual Basic language and Microsoft Excel databases. Additionally, the application is integrated with a barcode scanner to simplify the data entry process from PCBs and employee ID cards. Through the trial process conducted on the developed application, it has generally functioned in accordance with the development goals. Program control validation has been tested through several application access attempts from users registered as operators and administrators. The application has successfully recorded data from inbound and outbound processes, demonstrating storage and tracking functionality. Furthermore, the application has displayed the actual status data of the PCBs present in the warehouse. In terms of user satisfaction, seven users stated that this application was effective and efficient compared to the manual data recording process previously used by the company. This result was obtained from a questionnaire after the application was implemented in the company warehouse.

Data management plan and REDCap mobile data capture for a multi-country Household Air Pollution Intervention Network (HAPIN) trial.

Household air pollution (HAP) is a leading environmental risk factor accounting for about 1.6 million premature deaths mainly in low- and middle-income countries (LMICs). However, no multicounty randomized controlled trials have assessed the effect of liquefied petroleum gas (LPG) stove intervention on HAP and maternal and child health outcomes. The Household Air Pollution Intervention Network (HAPIN) was the first to assess this by implementing a common protocol in four LMICs. This manuscript describes the implementation of the HAPIN data management protocol via Research Electronic Data Capture (REDCap) used to collect over 50 million data points in more than 4000 variables from 80 case report forms (CRFs). We recruited 800 pregnant women in each study country (Guatemala, India, Peru, and Rwanda) who used biomass fuels in their households. Households were randomly assigned to receive LPG stoves and 18 months of free LPG supply (intervention) or to continue using biomass fuels (control). Households were followed for 18 months and assessed for primary health outcomes: low birth weight, severe pneumonia, and stunting. The HAPIN Data Management Core (DMC) implemented identical REDCap projects for each study site using shared variable names and timelines in local languages. Field staff collected data offline using tablets on the REDCap Mobile Application. Utilizing the REDCap application allowed the HAPIN DMC to collect and store data securely, access data (near real-time), create reports, perform quality control, update questionnaires, and provide timely feedback to local data management teams. Additional REDCap functionalities (e.g. scheduling, data validation, and barcode scanning) supported the study. While the HAPIN trial experienced some challenges, REDCap effectively met HAPIN study goals, including quality data collection and timely reporting and analysis on this important global health trial, and supported more than 40 peer-reviewed scientific publications to date.

Pemberdayaan UMKM Melalui Sinergi Praktik Ramah Lingkungan dan Pemasaran Digital pada Usaha Warung Makan Mbokcentil

In an effort to improve the performance and competitiveness of Micro, Small and Medium Enterprises (MSMEs), the synergy of environmentally friendly practices with digital marketing is an important focus. The community service carried out highlights Warung Makan Mbokcentil, an MSME that is not yet accustomed to environmentally friendly practices and is less than optimal in digital marketing strategies. Through community service initiatives, efforts are being made to promote environmentally conscious practices, recommending the implementation of packaging made from cassava leaves—commonly known as cassava bags, as a more environmentally friendly way of doing business at Warung Makan Mbokcentil. At the same time, community service activities strengthen digital marketing efforts by introducing barcode scanning for complaint services. This innovation facilitates fast and efficient customer feedback, thereby driving continuous improvement in the quality of Warung Makan Mbokcentil's services. In addition, strategic use of social media across related platforms is used to expand market reach and strengthen customer engagement. This community service activity uses interview, observation and mentoring methods. The results of the service underline the positive impact of the synergy of environmentally friendly practices and digital marketing at Warung Makan Mbokcentil. This collaborative approach makes a significant contribution to increasing operational efficiency, enhancing brand image and supporting environmental sustainability. Additionally, it has proven to play an important role in expanding market share through increasing presence on social media platforms.

SISTEM INFORMASI ABSENSI MENGGUNAKAN ARDUINO BERBASIS SCANNER RFID DI SD NEGERI LANGENSARI 03

Attendance is a data collection activity to determine the number of people present at an event. Every activity always requires information about participant attendance. This also happens in the learning process. The benefit of attendance using an Arduino based RFID scanner is that it makes it easier for attendance officers to input practical data because they can retrieve and store attendance data from RFID tags directly. Research on the development of attendance to become more effective in the education sector. Every activity that requires information about participant attendance will definitely utilize the use of tools that are used as proof of participant attendance, while teacher attendance currently used is using fingerprints. When absent, problems often occur, namely the finger that will be used to do the fingerprinting. Based on the background above, the author created automatic attendance to make attendance easier while at the agency where the teacher teaches. Meanwhile, the barcode scanner is a faster data input process compared to the manual method. This input process can be done with a scanner to record the data contained in the barcode quickly, so it doesn't need to take a lot of time.

Challenges in the digital transaction of an order picking system of an after-sale auto repair shop

This study aimed to enhance the efficiency of the order picking process in Carclasse’s parts warehouse in Braga to achieve this objective, a comprehensive analysis of all warehouse processes was conduct. The initial analysis revealed that approximately 59% of the references in stock were considered obsolete, as they had had zero turnover in the last 5 years. Additionally, a high error rate was identify in the order picking process, with around 6% of references being pick incorrectly. These errors led to discrepancies between the physical stock levels and the system records since some order picking errors went undetected. Moreover, queues were observed among internal customers when requesting material retrieval, which hindered workflow. Based on these findings, improvements were proposed to address the identified issues. One of the key proposals was the implementation of a Barcode scanning system to increase the digitalization of warehouse processes and rectify order picking and stock errors. Additionally, to reduce internal customers’ waiting time, it was suggested to shift the responsibility of part identification for collection to mechanics and increase from 2 to 4 the number of identification stations. It is crucial to highlight that the implementation of the Barcode scanning system can not only reduce order-picking errors but also contributed to the overall optimization of Carclasse’s parts warehouse. With the digitalization of processes, it is expected an enhancement in traceability and inventory accuracy, avoiding discrepancies between physical stock and system records. This can resulted in greater control and reliability of inventory data, providing a solid foundation for operational and strategic decision-making.

Financial Modeling Based on Book Store Management

The old billing software’s used in supermarkets, will have a lot of manual work and they don’t have the capacity to produce reports needed. The Billing software designed can generate a lot number of reports needed and there is no need of manual work. This billing software is a web application, it can store a lot of records in the database and the bar code scanner are also available. It’s a user-friendly software which can be used for both wholesale and Retail. It has an unlimited storage and application can be used in both online and offline. Reports for billing can be generated by data wise or price wise.

Quick Respond Indonesian Standart (QRIS) dalam Ber-Transaksi Secara Go Digital di UMKM Keripik Pisang UD. Muser Desa Pandanagung Kecamatan Soko Kabupaten Tuban

In 2019, the banana chips business utilizing QRIS payment was solely owned by UD. Muser. On average, 77 customers per month engaged in transactions using QRIS, with fluctuations in numbers. The production facility is located 25 minutes away from Bojonegoro and 53 minutes from Tuban, far from major cities. The customers of Banana Chips UD Muser are sales representatives who personally pick up the products from the production site. Banana Chips UD Muser has successfully entered Minimarts around Parengan, Soko, and Bojonegoro. The embedded strategy model employed a mixed method design, utilizing both primary methods (quantitative or qualitative) and secondary methods (qualitative or quantitative) simultaneously. By combining both types of data, a comprehensive analysis was obtained. Based on the SPSS Coefficients output, the significance value (Sig) of the QRIS variable (X) is 0.000, where 0.000 &lt; 0.05. Therefore, the hypothesis is accepted, indicating that QRIS is effective in public payment transactions. The t-test results show a t-value of 8.082 for the QRIS variable. Since the calculated t-value (8.082) is greater than the table t-value (2.005), it can be concluded that the hypothesis is accepted. QRIS is effective in digital payment transactions at UD. Muser. The effectiveness of QRIS usage is evident from the widespread adoption by buyers. Customers are satisfied with the QRIS method as it facilitates seamless digital transactions. Buyers find QRIS easy to use, requiring only a barcode scan specifying the purchase amount, making the transaction process straightforward and convenient.

Design and application of a bar-code scanning device for nucleic acid testing

Design and application of a bar-code scanning device for nucleic acid testing