This project introduces a Transportation Information Management System and Smart Bus Attendance System aimed at enhancing the efficiency and security of student transportation. By integrating RFID technology with Google Firebase, the system automates bus attendance, reduces manual paperwork, and provides real-time monitoring for parents, administrators, and transport coordinators. Each student is issued an RFID tag, which is scanned during boarding and departure, with data instantly uploaded to Firebase for live tracking and centralized management. The system also supports E-Pass (...) generation, replacing traditional paper-based passes with a secure digital alternative that streamlines transport access and prevents unauthorized usage. This reduces administrative effort while enhancing safety and accountability. Administrators benefit from built-in reporting tools, offering insights into attendance patterns and transport efficiency. The shift from manual to automated tracking minimizes human errors, improves data reliability, and ensures seamless system integration. Overall, the solution provides a cost-effective, scalable, and user-friendly upgrade to conventional student transport systems. It highlights how modern technologies like automation and cloud-based services can transform transportation management in educational institutions, creating a safer, more efficient experience for students and all stakeholders involved. (shrink)

Technology has the power to break the limitations of traditional passive learning and innovate almost all aspects of everyday life with the power of connecting things of the world to the Internet, “Internet of Things (IoT).” IoT is no longer a phenomenon, but it has become a prevalent system in which people, processes, data, and things connect to the Internet and each other. This paper ‘Enhanced Campus Automation System and the emerging need of IoT integration: an automation perspective’ [eCAS-IoT] is (...) an outcome of case study undertaken at St. Aloysius’ College, Jabalpur, India, wherein the automation challenges are taken into consideration that has been integrated in the existing ERP and related tools such as RFID based attendance and monitoring system in real-time, digital library, API integration and implementation of Optical Network. In this paper we have tried to bring out ideas to achieve the campus automation challenges and awareness of greater need of technical expertise, promotion and training on the effective use of ICT and related devices to make teaching, learning and administration more impacting. (shrink)

This comprehensive article explores the transformative impact of artificial intelligence technologies in the retail industry, focusing on four key areas: personalized shopping recommendations, intelligent inventory management, enhanced customer service, and data analytics. The article examines how AI-driven solutions are revolutionizing customer experiences through advanced machine learning algorithms, recommendation systems, and predictive analytics. It investigates the implementation of IoT and RFID technologies in inventory management, the evolution of conversational AI in customer service, and the growing importance of data- driven decision-making (...) in retail operations. The article draws on market analyses and industry reports to provide insights into adoption rates, market growth, and the future trajectory of AI applications in retail. (shrink)

In today’s fast-paced supply chain environment, efficient inventory management is essential for small and medium-sized warehouses striving to reduce manual errors, avoid stockouts, and improve operational productivity. This paper presents the design and implementation of a smart warehouse system that leverages Internet of Things (IoT) technologies for real-time inventory monitoring and automated order fulfilment. The proposed system integrates RFID readers, barcode scanners, and various IoT sensors—including weight, temperature, and motion detectors—with a cloud-based inventory management platform. These components work together (...) to continuously monitor stock levels, detect item movement, and maintain environmental conditions for sensitive goods. When stock falls below a predefined threshold, the system automatically triggers restocking requests and can even notify or place orders with suppliers. A predictive analytics engine powered by machine learning analyses historical data to optimize reorder points, minimize waste, and forecast demand. The implementation demonstrates how IoTbased automation can enhance transparency, reduce costs, and increase scalability for small warehouse operations. Experimental results confirm improved efficiency, higher picking accuracy, and reduced operational downtime. This research offers a cost-effective and scalable solution tailored to meet the growing demands of inventory control in the digital era. (shrink)

Purpose/Background. The present research focuses on the debate on transhumanism/bioconservatism from the perspective of empirical bioethics, that is, making use of em-pirical evidence in the process of moral reasoning. Its objective is to propose a metho-dological guide for the approach and resolution of moral problems concerning human enhancement. Methodology/Approach. The method Step-wise Ethical Human Enhancemet (SWEH) is proposed. It is a guide consisting of 11 questions that are the result of the adaptation of the guidelines for identifying a human enhancement (...) procedure as ethical developed by Julian Savulescu to the method of Step-wise Empirical Contributions elaborated by Pascal Borry. An applicative example on the morality of biohacking RFID implants is provided. Results/Findings. SWEH proposes that human enhancement procedures might be approached as specific problems and that the identified moral norm might be rewritten as a descriptive proposition that serves as a hypothesis that will be evaluated in the light of empirical evidence. The evaluation of the proposition, and thus of moral reasoning, will be done with the help of the information gathered by the 11 questions. Discussion/Conclusions/Contributions. SWEH can serve to provide a first answer on the morality of a specific human enhancement procedure, but not an absolute one, as the result may vary depending on the information obtained in the future. It also highli-ghts gaps in empirical research related to the procedure it addresses. The method is a first methodological guide that could be revised and improved. (shrink)

In most educational institutions, participation of Teacher’s in attendance process is regarded as a vital exercise for allowing knowledge transfer. One common method is by having Teacher’s to manually sign the attendance sheet. Besides, such attendance sheet could easily be misplaced or lost. Besides that, the application will help to reduce time being wasted, leading to a higher learning productivity in class. There are a few paperless attendance systems such as Biometric, Android based that have been developed but such systems (...) need to be equipped with either a computer or RFID reader, resulting in additional cost for hardware and its maintenance. With that in mind, we have aimed to address this issue by having a smart attendence system with minimal hardware and software requirement and at the same time, by using GPS and Geo-Fence technique and enhancing the mobility aspect of the existing attendance systems. (shrink)

Attendance management is a fundamental activity in educational institutions and organizations to monitor and record the presence of individuals. Traditional methods, such as manual entry or biometric systems, often suffer from drawbacks like proxy attendance, time consumption, and inefficiency. In recent years, smart attendance tracking systems have emerged, incorporating technologies such as QR codes, RFID, face recognition, GPS, and IoT. This paper presents a comprehensive survey of various smart attendance tracking methods, evaluating their effectiveness, limitations and suitability for different (...) environments. (shrink)

This work has been designed to develop an a dynamic road signal based on an emergency with density. The sync signal automatically switches to detecting traffic density at the intersection. Traffic congestion is a serious problem in many large cities around the world and has become a nightmare for travelers in these cities. The conventional traffic light system is based on the concept of fixed time assigned to each side of the join that cannot be varied by varying traffic density. (...) The tie times assigned are fixed. But in an emergency, emergency timings change according to the distance and depth of the traffic. At the time the emergency vehicle is read by the receiver it will execute the management of the traffic light. These projects are infrared proximity sensors in the sightline configuration through the load to detect the traffic light density. The vehicle density is measured in several sectors based on the times assigned as a result. Every crossing of the emergency vehicle logs the data's to the cloud. This log signal would help with the destination acknowledgment. This synchronization will greatly reduce traffic jam. -/- . (shrink)