This paper describes the design of solar powered charging station for charging of electric vehicle describes design of solar powered charging station for charging of electric vehicle that solves the key downside of fuel and pollution. Electric vehicles have now hit the road worldwide and are slowly growing in numbers. Apart from environmental benefits electric vehicles have also proven helpful in reducing cost of travel by replacing fuel by electricity which is way cheaper. Well here we develop an EV charging system that solves with a unique innovative solution. This EV charging of vehicles without any wires, No need of stop for charging, vehicle charges while moving, Solar power for keeping the charging system going, No external power supply needed. The system makes use of a solar panel, battery, transformer, regulator circuitry, copper coils, AC to DC converter, atmega controller and LCD display to develop the system. The system demonstrates how electric vehicles can be charged while moving on the road, eliminating the need to stop for charging. Thus the system demonstrates a solar powered wireless charging system for electric vehicles that can be integrated in the road. Keywords: Battery; Micro Controller; Embedded System; Transformer; Microprocessor; Electric Vehicle;

Solar wireless electric vehicle charging system

AI Based Tagging the Optimal Power Point of a Solar Photovoltaic Using Artificial Bee Colony (ABC) Optimization Algorithm

Agriculture's productivity has a big impact on the Indian economy. Plant disease identification is key to agricultural output. Early detection of sick plants reduces productivity and volume losses. Plant diseases are studied by examining the plant's apparent characteristics. Long-term farming requires monitoring crop health. Handling plant disease outbreaks is tough. Huge effort, plant disease knowledge, and processing time are needed. Early identification is crucial since it can affect output quantity and quality. When crops on large farms become apparent on the plant's leaves, an automated method will be useful. Image processing is used to identify plant diseases. Disease detection involves picture capture, pre-processing, segmentation, feature extraction, and classification. This study looked for plant illnesses using leaf pictures. In this work, leaf pictures were analysed to diagnose plant illnesses. Some strategies for recognising plant diseases were also addressed. Neural Networks were used to classify leaf diseases in this article. AGRI ROBOT helped with this.

Automated Agronomic Bot for Green Ailment Scanner

A bionic arm is a robotic hand that can be controlled manually or by machines. It resembles and acts like a human hand. It makes use of AI technology to make decisions and control other hand movements. The primary function of this hand is to ensure that all productions and tasks are flawless. The movement of the hand can be controlled via a wireless medium; it utilises a camera to grasp the gesture or the task that it needs to perform. It can be used for industrial applications where the periodic function is not carried out by the machine; it is specially designed to perform unique tasks. This can be used to accent the words in the understandable mode for deaf people as well; it converts written or stored content into accent. This system performs multiple tasks as per the instructions provided to it as an input. Most applications that humans cannot perform in various situations can be performed by this bionic arm.

Gesture-based Control of a Bionic Arm – A Prototype Design

Machine Learning-Based Pre-Stroke Detection System

AI approaches have been widely used for MPPT in solar power systems in the recent decade. Conventional MPPT can’t track GMPP under partial shade (PSC). A solar panel’s power-voltage output curve has one GMPP and several LMPPS (MPPs). AI must be integrated into MPPT to track GMPP and improve its efficiency and performance. Each AI-based MPPT approach has its own pros and cons. In general, AI-based MPPT approaches have quick convergence speeds, low steady-state oscillations, and high effectiveness. AI-based MPPT is computationally intensive and expensive. This research compares the categorization and performance of various AI-based MPPT approaches. In the proposed work it is found that ANN algorithm is less complex, more efficient in tracking ability, periodic tuning is available. FLC deserves the merit of efficient implementation with periodic tuning. PSO, ACO, DE, GA has a rapid convergence speed. GWO/FOAhas more system independency and Even though the tracking is not possible RMO/CSis one of the most efficient algorithms.

A Succinct Summary of the Solar MPPT Utilizing a Diverse Optimizing Compiler

This paper investigates a study that assists vision-impaired communities with advanced auxiliary technology. The study proposes a care cane that alerts the vision-impaired community over hindrance in front that could assist them in walking with lesser collisions. The paper focuses on the invention of the care cane that could interact with the users through a speech-based alarm, quiver, and navigation. The invention work involves programming and hardware installation. A sequence of testing has been done on the care cane and the results are listed. This research found that the care cane works as expected, in alarming users about the hindrance in front. This care cane is for the use of vision-impaired people that can possibly level up their routine dependent life into an independent self-paced way of living [1] [2]

CARE CANE-Versatile Supportive Cane for Vision-Impaired

The eventual objective of the endeavour is to design a PNT-based solar tracking system associated to a microcontroller to pinpoint the location of the sun, which is used as data to ascertain the exact coordinates of the solar panel, and to communicate power usage to the user through This initiative aims at maximizing solar energy production while increasing efficiency. Using a solar panel, motor, GPS, battery, and electrical circuit, this technique will produce an uncomplicated and relatively inexpensive sun follower system. The collector is guided by photovoltaic tracers to follow the trajectory of the sun. Solar tracing technology progresses the PV plate’s renewable power extent practicable. The findings demonstrate that the automated solar mapping system is more reliable and meticulous than the stable one. This study analyses several solar tracking system techniques so that the choice the one that will monitor the sun’s rays with the greatest performance.

Review and Comparison on Types of Solar Tracking using PNT Systems

Water is an essential resource for all living beings. Employment of sustainable growth with available resources is a primary goal, in that aspect, the proposed work proposes a water level controller “Hydrolink” for automatic water pumping action. In most of the metropolitan cities, living in apartment is most popular and economical, utilizing the available water properly, a controller is designed, it uses a simple technique to maintain sufficient quantity of water in the conservator tank. The proposed system uses simple and effective circuits for accomplishing the task. The proposed system accounts the quantity of water intake utilized by individual flats and the resident of that flat can pay as per their utility. The proposed system is implemented and its results are discussed in this work. It is observed that its functions are reliable, economic, and useful since all the actions are handled by the controller autonomously. This system also send message to the resident as that how many times that they have turned the water motor “on” and “off’ which in turn states their water utility.

Hydrolink - Automatic Water Level Controller

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