C. K. Gomathy

Bio: C. K. Gomathy is an academic researcher. The author has contributed to research in topics: Ultrasonic sensor. The author has an hindex of 1, co-authored 1 publications receiving 6 citations.

The Efficient Automatic Water Control Level Management using Ultrasonic Sensor

Abstract: In everyday life, million liters of water are getting wasted by overflowing and also heavy usage. To reduce this ,we have to implement some overflow control techniques to minimize the heavy wastage of water. For this purpose, we propose the Smart water level management system. This system uses an ultrasonic sensor to detect the water level and it is based on the sound made from flow of water it calculates the level of water in percentage and returns the value to the LCD display. It will calculate the level of water up to 100% by the intervals of 10%. After each interval it reaches the value is displayed on the LCD screen. This system is connected with relay switch which will automatically turn OFF and ON based on level of water. When the water level reaches 0% it will automatically turned ON and if it reaches 100% it will automatically turned OFF. We can also control the system online using a WiFi module which connects the system with web application we created. By also using PH sensor we can check the purity of the water. The result of this will be displayed on our web application.

The Voice Enabled Personal Assistant for Pc using Python

Abstract: Personal Assistants, or conversational interfaces, or chat bots reinvent a new way for individuals to interact with computes. A Personal Virtual Assistant allows a user to simply ask questions in the same manner that they would address a human, and are even capable of doing some basic tasks like opening apps, reading out news, taking notes etc., with just a voice command. Personal Assistants like Google Assistant, Alexa, Siri works by Speech Recognition (Speech-to-text) and Text-to-Speech.

A Study on IoT Based Flood Detection Management System

Abstract: Over the past few years we can see there is an occurrence of floods at different parts of the world almost every year. The technical advancements in recent years have made it easier to get a solution for these natural disasters. One of such technologies which takes us much closer to the internet is the “Internet of Things”. This paper consists of flood detection and avoidance system using the iot technology. The sensors present in this are used to estimate the water levels, humidity, and temperature and send the real-time data to the cloud and the users can access the data via the mobile app. This model is widely used to alarm the people before a flood occurs and necessary precautions could be taken.

Designing an arduino-based low-cost and high-precision water level indicator and controller with ultrasonic sensor

Abstract: The development of a low-cost and high-precision water level indicator and controller using Arduino Uno and an ultrasonic sensor is the focus of this research study. The system aims to accurately measure the water level in a tank or reservoir and control water flow automatically. The research study involves designing and implementing the water level indicator and controller using arduino uno and an ultrasonic sensor. The system is designed to be low-cost and easy to install, making it ideal for use in households, small businesses, and rural areas. The ultrasonic sensor is used to measure the distance between the water surface and the sensor. The arduino uno microcontroller then calculates the water level using this distance measurement and controls water flow using a motor or a solenoid valve. The system's performance is evaluated based on its accuracy, reliability, and response time. Environmental factors such as temperature and humidity are also considered in the evaluation process. The research study shows that the water level indicator and controller using arduino Uno and an ultrasonic sensor is a reliable and cost-effective solution for water management. The system can help prevent water wastage, reduce water bills, and ensure a steady water supply. The research study provides valuable insights into the development of low-cost and high-precision water level indicator and controller systems and their potential applications in water management.

The Weed Plant Detection

Abstract: The Knowledge about the distribution of weeds within the sector could also be prerequisite for the site-specific treatment. Optical sensors changes to detect vary weed densities and species which can have mapped using GPS data. Weeds are extracted from the pictures that are using the image processing and therefore the report by the form features. The classification supported the features reveal the type and therefore the number of weeds per the image. For the classification the sole maximum of sixteen features out of the eighty-one computed ones is employed. Which enables the optimal distinction of weed classes is used the choice is usually done using processing algorithms, which the speed discriminate of the features of prototypes. If no prototypes are available, clustering algorithms are often used to automatically generate clusters. Within the next step weed classes are often assigned to the clusters. Such procedure aids to select prototypes, which are completed manually. Classes are often identified, that are distinct within the feature space or which are overlapping, and thus not well separable. The clustering is usually utilized in some, less complex cases to work out automatic procedure for the classification. By using the system weed plants are generated. These are differentiating to the results of manual weeds sampling.

Traffic Prediction for an Intelligent Transportation System using ML

Abstract: The primary goal of this research is to assist the development for forecasting errorless and reliable commuter traffic. As the flow density of the traffic on road expands, traffic control has now become a critical concern in recent years, whether that is traffic stoplights, rallies, vehicular homicides, or indeed road maintenance work. Technology is required in today’s environment. Furthermore, it promotes the implementation of self-governing cars. Automobiles really are one of the essential means of technological refinement. Intelligent Transportation System (ITS) is a sort of Intelligent Traffic Software that involves communications and interaction technologies to tackle traffic control concerns. This System encapsulates the much more pressing transportation challenges. Intelligent Transportation System (ITS) is a tried-and-true methodology that use modern technologies with sensors and communication to enhance transportation efficiency. Intelligent Transportation might sometimes alleviate difficulties like commuter traffic and poor safety by adopting the most up-to-date traffic management strategies. By enhancing information, consumer electronics, and control based on wireless broadband connection. At the moment, tracking data is adding support as a progress has been made towards big data notions and associated assimilation into transportation. Signalized intersection prediction methods make use of some traffic estimation techniques, however they are still inadequate to application scenarios. Furthermore, Image Processing techniques are connected to traffic sign recognition, which subsequently contributes in the requisite skills of self-driving vehicles.