In this paper, we introduce a hand-gesture based control interface for navigating a car robot. A 3-axis accelerometer is used to record a user hand gesture .The data is transmitted wirelessly via an RF module to a microcontroller. The received signals are then classified to one of six control commands for navigating a car robot. The microcontroller then classifies the hand tracjectories. Simulation result show that the classifier could achieve a 92.2% success rate.

Our solar-powered beach cleaning system is transforming the way we maintain clean beaches. It is a self-sustaining setup for an automatic cleaning robot. The efficient solar panels serve as a charging point, allowing the robot to work continuously without human intervention. Even during periods of low sunlight or at night, the robot can continue its cleaning tasks thanks to its battery storage.

This paper comprises of comparative review for design of water rescue robot. The paper also gives information about techniques used for water rescue and evolution of water rescue robots in world. The comparison for design of water rescue robot is done on basis of propulsion system, power supply, microcontroller, 3D material etc. The paper also describes a calculation required for developing and designing a water rescue robot.

“Pharma-Easy” is an innovative e-commerce platform revolutionizing the pharmaceutical industry. This research facilitates the sale of a comprehensive range of medicines while introducing a unique approach to pharmaceutical sustainability. In addition to providing a diverse catalog of medications, Pharma-Easy of ers exclusive discounts on medicines nearing expiration. By alerting users to upcoming expirations and incentivizing purchases of these medications at discounted rates, the platform not only ensures af ordability for customers but also minimizes pharmaceutical waste. z’Pharma-Easyz’ also analyzes the customer request and provides proper medications available based on the prescriptions of the user. Through secure transactions, prescription verification, and prompt delivery services, Pharma-Easy aims to redefine the e-commerce landscape by combining convenience with a commitment to accessibility, af ordability, and sustainability in the pharmaceutical sector. By addressing current challenges in emergency medical services, the research recognizes the critical importance of rapid access to healthcare during medical emergencies, acknowledging that swift response can be a matter of life and death.

“Enforce360: YOLOv8 and Tesseract-OCR for Comprehensive Helmet Rule Adherence” Motorcycle riders not wearing helmets pose a significant risk to road safety and their own wellbeing. However, manually monitoring a large volume of traffic across an entire city to identify all helmet violations is an impossible task. Conversely, automatically extracting license plate information from vehicles promises various applications like seamless toll payments, parking systems, etc. but relies heavily on expensive infrastructure changes. This paper tackles these challenges by developing a real-time computer vision system to automatically detect helmet violations among motorcycle riders while concurrently extracting their license plate details. By employing advanced machine learning algorithms for object detection and optical character recognition, the system can accurately identify riders without helmets and capture license plate numbers with high precision. The real-time nature allows it to monitor live traffic streams and generate actionable insights for law enforcement and other agencies. The proposed techniques provide an efficient and low-cost automated framework to improve road safety by increasing compliance to helmet rules. Additionally, the license plate data extraction opens up possibilities for various smart city applications without needing large investments into infrastructure changes. The system has the potential to process large volumes of traffic across cities and contribute significantly to road safety and intelligent transportation initiatives.

“A Review on Enhancement of Bandwidth for RFID Applications using HFSS Software” explores the use of Advanced System Simulator (HFSS) software to improve bandwidth for radio frequency identification (RFID) applications. This article focuses on addressing the limitations of traditional RFID techniques and reviews recent advances in bandwidth enhancement using HFSS. Various technologies are being examined, including advanced materials, improved antenna design, and new electrical installations. Practical applications in the industry show the real impact of these developments. The review concludes by discussing current issues and presenting future research directions to advance RFID technology towards higher efficiency.

The conventional motorbike remains a popular transportation choice due to its cost-effectiveness. However, safety concerns persist, particularly regarding balance issues, which are crucial for rider safety. Addressing this, we propose self-balancing technology for two-wheelers. This innovation aims to provide a car-like safety level at a lower cost, enhancing accessibility to safer transportation. In addition to safety, traditional motorbikes contribute to environmental problems through fuel consumption. As the world faces climate challenges, transitioning to electric-powered vehicles becomes essential. By integrating gyroscopic technology into two-wheelers and utilizing electric power, we can mitigate safety risks and environmental impact. Gyroscopes sensors, motors, and batteries, enable automatic balance control, making two-wheelers safer and more inclusive for various riders, including handicapped individuals and children. Moreover, electric power eliminates harmful emissions, promoting cleaner transportation solutions. Thus, self-balancing two-wheelers offer a dual benefit: improved safety and reduced environmental footprint, aligning with the global push towards sustainable mobility.

: Due to the complex structure of tensegrity systems it is often hard to understand their behaviour and estimate their mechanical properties. As a result, they are rarely used in real engineering applications. The present paper focuses on the evaluation of equivalent mechanical properties of various tensegrity modules based on a con- tinuum model. The aim of the applied model is to facilitate the identification and understanding of mechanical characteristics of tensegrities through their comparison with a continuum body with equivalent features. The model is built by assuming that the strain energy of an unsupported tensegrity module or structure is equivalent to the strain energy of a solid. The approach enables to estimate the influence of self-stress on deformation of the structure, identify the influence of cables and struts on the properties of the whole system, determine equivalent mechanical characteristics, such as Young’s moduli, shear moduli, Poisson’s ratios etc., and conditions that limit their values. What is more, a qualitative as well as quantitative evaluation and comparison of mechanical properties for various tensegrity modules and systems is possible with the use of the applied technique. A comprehensive analysis of typical tensegrity modules with various elastic symmetries is presented. Using the adopted model, mechanical characteristics are determined and graphs of identified mechanical coefficients for five typical tensegrity modules are presented in relation to the self-stress multiplier and cable to strut properties ratio. The analysis can be useful for the development of extreme mechanical properties of smart tensegrity- inspired 2D or 3D lattices or metamaterials. Tensegrity Structures consist of strings (in tension) and bars (in compression). Strings are strong, light, and foldable, so Structures have the potential to be light but strong and deployable. pulleys, Nitti wire, or other actuators to selectively tighten some strings on a tensegrity structure can be used to control its shape. This article describes some principles we have found to be true in a detailed study of mathematical models of several tensegrity structures. We describe properties of these structures which hold quite generally. We describe how pretending all strings of a tense pity makes its shape robust to various loading forces. Another property asserts that the shape of a tensegrity structure can be changed substantially with little change in the potential energy of the structure. Thus shape control should be in expensive. This is in contrast to the control of classical structures which require substantial energy to change their shape.

This review paper aims to provide a comprehensive analysis of the current state of energy storage systems in India. With the increasing demand for reliable and sustainable energy, the role of energy storage has become crucial in addressing the intermittency of renewable energy sources and ensuring grid stability. The paper explores various types of energy storage technologies deployed in India, their challenges, and potential solutions. The analysis is based on a thorough review of existing literature, data, and case studies. The paper also includes tables and graphs to illustrate key findings.

The Aerial Delivery of Life-Saving Supplies is an Unmanned Aerial Vehicle (UAV) system designed to swiftly and securely deliver medical supplies during emergencies. Its primary objective is to expedite the delivery of critical supplies to hospitals, mitigating the risk of fatalities due to shortages. To prioritize environmental sustainability and efficiency, the UAV will be powered by batteries, and the use of plastic in packaging will be minimized. The incorporation of parachutes ensures the safety of both humans and supplies, reducing delivery time. The successful implementation of UAVs for medical supply delivery has demonstrated remarkable results, gaining widespread adoption worldwide.

A novel approach to harnessing wind power is introduced, demonstrating superior performance compared to conventional wind turbines of similar size and aerodynamic features in identical wind conditions. This innovative system achieves markedly increased output at a reduced cost. The primary groundbreaking aspect involves eliminating tower-mounted turbines, a characteristic feature of current wind power technology known for its mechanical complexity, towering structures, high costs, and associated hazards to both people and wildlife. The second distinctive feature of INVELOX lies in its ability to capture wind flow through an omnidirectional intake, eliminating the need for passive or active yaw control. Additionally, it accelerates the airflow within a shrouded Venturi section, subsequently releasing it into the surrounding environment through a dif user. Simulating the performance of this wind delivery system poses a considerable challenge due to the intricate nature of the system and its interaction with the incoming wind at the front end and the turbine at the rear end. The objectives of the current study include fabricating a model to gain insights into the flow field within the INVELOX, both where the actual wind turbine is located and in the external flow field. Enhanced wind velocities are shown to significantly enhance power output.

The landscape of energy management systems is undergoing a transformative shift, transitioning from centralized management to distributed energy management systems for enhanced energy ef iciency. Within the realm of distributed energy management, two distinct user types emerge: 1) those with surplus energy generation and 2) those facing a deficit in energy generation compared to their demands. This project aims to address the energy generation imbalance among distributed users through the implementation of a peer-to-peer (P2P) energy trading platform. Notably, blockchain technology is proposed as a pioneering solution, providing a secure and reliable framework for executing P2P transactions without the need for centralized broker intervention. The decentralized application characteristics inherent in blockchain facilitate the trading of energy generated by distributed users within the proposed platform. To augment user accessibility, a mobile application is established for monitoring transaction information, including transaction details and energy prices. This initiative aims to create a more balanced and efficient energy ecosystem.

This project presents a groundbreaking one-wheeled electric bike integrated with a wheelchair to facilitate seamless mobility for individuals with leg disabilities. The core innovation lies in the incorporation of a sophisticated Brushless DC (BLDC) motor and state-of-the-art attachments commonly associated with electric bikes. The resultant system of ers notable advantages, providing enhanced independence and improved maneuverability for users. However, technical evaluations reveal challenges in adapting to user dynamics and nuanced maneuvering, constituting inherent disadvantages. Furthermore, the system exhibits limitations in its responsiveness to variable terrains and environmental conditions. Despite these challenges, the project marks a significant stride in assistive mobility technology, showcasing potential transformative impact. Ongoing refinements and adaptive strategies are essential to address identified limitations, ensuring a comprehensive and technically sound solution for individuals with leg disabilities.

One of the major problem that the world faces this moment is Energy Extremity. It can be reduced to a certain extent by duly covering our energy consumption and avoiding energy destruction. Currently people face numerous problems like power theft. This system will find energy theft fluently. This IoT electricity meter is conforming of At mega 328 microcontroller with a WIFI module for IoT connection and GSM module for mobile connection, on which client will admit information via SMS. This smart electricity meter also consists of a current detector that sends the current reading to the microcontroller. We have to connect cell phones with the system via SMS which will help to configure with the system. In case of an exigency, the information will be shared on the configured number. We have to set costs for the unit and for which we have four buttons. With the help of buttons, we can set costs for the unit. As we start the system, it shows reading on the IoT screen. Reading will be changed with respect to time. In the case of energy theft, the theft will be caught and displayed on the IoT screen. Indeed the information will be entered through SMS on the configured number. After entering the alert, the driver can switch of the system using IoT to avoid thef

In this study, an IoT-based feeding and drinking system for pet dogs will be discussed. Frequent feeding and drinking causes issues for pet owners while they are away from their animals or not at home. This issue can be resolved by combining I0T technology with feeding and drinking apparatus. In this study, the I0T system developed an Internet of Things (IoT)-based system with remote control and monitoring to facilitate pet owners provision of food and water through smartphone apps. Dogs are the pets discussed in this study. There are two primary purposes for this system, eating and drinking. These features can all be used both automatically and manually. Weighing food is the annex tension function, in addition to these two functions. It is possible to have automated drinking and feeding

The implementation of advanced safety measures in 3-phase systems is a significant step in ensuring workplace security. Utilizing a variety of sensors, including those for voltage, current, and temperature, these systems enhance overall safety. Notably, the integration of IoT technology allows real-time transmission of sensor data to a cloud-based MERN stack platform, enabling centralized data storage, analysis, and visualization. This facilitates efficient monitoring, proactive maintenance, and rapid response to potential hazards. The collected data provides valuable insights for predictive maintenance, and the user-friendly MERN stack-based interface ensures easy access to vital information, contributing to both industrial safety and operational efficiency.

The effectiveness of solar panels can be considerably reduced by the collection of dust and soil. Periodically cleaning them is essential, but it can be difficult and expensive when there is a shortage of water. The effect of dirt and dust on solar photovoltaic conversion efficiency has been the subject of recent research. Appropriate cleaning methods can increase conversion efficiency by 15-20% or output energy by around 25%. In addition to discussing automated cleaning solutions for solar photovoltaic modules, such as electrical, mechanical, chemical, and electrostatic approaches, this project gives an overview of the dust problem. The primary goal is to develop efficient automated solar panel cleaning solutions.

The Shorecleanbot is a groundbreaking automated seashore cleaner robot designed to enhance coastal sustainability by leveraging Arduino technology. Its primary goal is to clean seashores and promote the well-being of marine environments, addressing the growing issue of beach pollution caused by visitors. With reports highlighting the significant accumulation of plastic waste on beaches, often inadequately managed by local authorities, this environmental damage not only threatens marine ecosystems but also diminishes the appeal of beaches for tourism. To combat this problem, the automated seashore cleaner robot operates autonomously, minimizing the need for human intervention. Equipped with versatile sensors, it ensures efficient cleaning without interruptions. The robot strategically initiates its cleaning process at night, synchronized with high and low tide schedules, covering a substantial area before sunrise to reduce potential encounters with human visitors. Utilizing data storage, it retains its cleaning path, ensuring comprehensive coverage. To handle waste collection effectively, a front loader bucket with an integrated motor allows the robot to lift and empty the garbage bucket when it reaches capacity. This innovative solution aims to contribute to cleaner and more sustainable seashores, preserve marine ecosystems, and maintain the allure of beaches for tourists.

This research presents a Smart Agriculture Robot equipped with sensors for real-time monitoring, seed sowing automation, and crop prediction through machine learning. The integration of sensor data enhances precision in agricultural activities, while machine learning algorithms analyze historical and current data to predict crop outcomes. The system aims to optimize resource utilization and enhance overall agricultural efficiency for sustainable and informed decision-making. The smart agriculture robot described employs sensors for monitoring, seed sowing, and crop prediction through machine learning. This innovative system combines real-time data from various sensors to optimize agricultural processes, ensuring efficient seed placement. Additionally, machine learning algorithms analyze historical and current data to predict crop outcomes, enabling proactive decision-making for improved yield and resource utilization.

This research presents a Smart Agriculture Robot equipped with sensors for real-time monitoring, seed sowing automation, and crop prediction through machine learning. The integration of sensor data enhances precision in agricultural activities, while machine learning algorithms analyze historical and current data to predict crop outcomes. The system aims to optimize resource utilization and enhance overall agricultural efficiency for sustainable and informed decision-making. The smart agriculture robot described employs sensors for monitoring, seed sowing, and crop prediction through machine learning. This innovative system combines real-time data from various sensors to optimize agricultural processes, ensuring efficient seed placement. Additionally, machine learning algorithms analyze historical and current data to predict crop outcomes, enabling proactive decision-making for improved yield and resource utilization.