Author name: cms

The farmers are the backbone of the country who produce crops. The farmers plant many plants, crops and take care of them till they are harvested. The problem the farmers or gardeners or botanist face is that the plants or crops are diseased. To identify the disease that crop or plant has and to treat the disease with appropriate fertilizers, pesticides, the environment in which the crop or plant must be grown in is also necessary to be known before planting, the parameters like temperature, humidity etc. These problems can be solved using Know Your Plant. Know your plant is a mobile crop advisory app for farmers, extension workers and gardeners using which you can monitor your crop and plant growth. Know your plant uses farm level data to predict ideal growth conditions and resource requirements and notify farmers to take informed decisions, below the soil parameters, crop stage, crop growth. Know your plant provides real-time insight into daily progress of your crops and activities, manages sales, expenses and cash flow to ensure the health of your finances.

The “Smart Ration Dispensing System” is an Arduino Mega 2560-based project that aims at digitising and automating the present-day ration distribution system. It aims at reducing malpractices, minimising human errors, and ensuring proper systematic distribution of the commodities without any human intervention. A public distribution system is a widely controversial system that involves corruption and illegal smuggling of goods. This happens because every task in the provisional stores involves manual work, and there are no specific “high-tech” technologies to automate the job. This project will enhance our day-today routines using technology by taking into account the various social, economic, and general aspects. The classical method involves the customer describing to the shop retailer the quantity and type of commodity required. The distributer then measures the commodity to be given to the customer manually. Our vision is to automate this process, i.e., we have an input mechanism through which the customer scans their RFID card, the pin is entered by the user and it’s verified with the entry in the database, furthermore the allotted grains are dispensed. The calibrated load cell is kept at the bottom of the dispenser, whose main purpose is to constantly measure the dispensed commodity and compare it with the value acquired from the database (say 500 gm) and the process stops when the two values match. An IR sensor is fixed to continuously check if the container is available. If so, then the commodity is dispensed; otherwise, it will wait until the container is placed. To check the presence of the commodity in the container, we also have an ultrasonic sensor fixed. If the grain falls below the threshold value, the message will be conveyed to the retailer to refill the container.

A laser music system has been created, that combines a laser and light sensor system with an infrared distance sensing system that detects the position of user’s hand when it intersects one or more of the individual laser beam. The laser beam, which are made visible by a small amount of smoke in a dark room, provides vision, guidance to the user to reduce the difficulty of using a non-contact instrument as well as enhancing an appealing optical effect for the user. The system uses a number of sharp distance sensors to map the position of the users hand to a variable like pitch. The user should move their hand to different heights to achieve a desired pitch. The laser beam should be broken to trigger the desired note.

The main aim of this project is to provide an efficient visual platform to enhance the perception of his surroundings for a visually impaired user. This is achieved by using the concept of real time image and video processing. This data is analyzed and compared along with the database which consists of pre-stored data that aids in recognition of the captured image, also keeping the financial perspective in mind. A head mount camera is used to capture an image on a real-time basis whenever desired. The captured image is then processed and compared with the information stored in the database, providing an audio output indicating the desired information. Audio output is provided through bone conduction headphones which communicate audio signals directly with the inner ear. A distress alert mechanism is also included as a safety measure to the blind at times of danger. It helps in sending messages containing distress alert signal and the current location of the user. Hence, virtual eye provides an expandable multi -feature package to the user with the following features such as Obstacle Avoidance, Face Detection/ Recognition and Distress Alert.