Proactive Women's Security Prediction Through LoRaWAN S Meivel, R Keerthika, D Krithiga, K Lavanya, M Manjula Proceedings of the 6th International Conference on Inventive Research in Computing Applications Icirca 2025, 2025
Research analysis of data exploration and visualization dashboard using data science D. Faridha Banu, P. T. Kousalya, Kavin Varsha, C. Keerthi Prashanth, P. Madhumohan, et al. Multidisciplinary Applications of AI Robotics and Autonomous Systems, 2024 Any attempt to explain the relevance of data by putting it in a visual context is referred to as data visualization. With the aid of data visualization software, patterns, trends, and correlations that could go unnoticed in text-based data can be exposed and identified more easily. The graphical presentation of quantitative information is known as data visualization. In other words, data visualizations convert big and small data sets into pictures that the human brain can comprehend and digest more readily. In our daily lives, data visualizations are surprisingly prevalent, yet they frequently take the shape of recognizable charts and graphs. It can be applied to find unknown trends and facts. When communication, data science, and design come together, good data visualizations are produced. When done well, data visualizations provide important insights into complex data sets in clear, understandable ways. The authors talk about data visualization, its significance, tools for data visualization, etc. in this chapter.
Smart Communication System for Human Life Safety Meivel S, Sundar G, Yaswanth K M, Yogeshwaran S Proceedings 7th International Conference on Computing Methodologies and Communication Iccmc 2023, 2023 Safety helmets may provide sufficient protection for construction workers. But employees frequently take off their helmets due to discomfort and a lack of security knowledge, leaving them vulnerable. Workers who don't wear protective headgear are more likely to be hurt in accidents involving falling items (including humans) and vertically falling things. A fast and reliable safety helmet detector is, however, desperately needed. Observing workers to ensure they are wearing protective headgear is a crucial aspect of site management. However, the commonplace manual monitor calls for a much work, and it's tough to get people to adopt new methods for installing sensors in safety helmets. This study provides a Deep Learning (DL) based safety helmet recognition method that is both fast and accurate. Using deep learning, a system has been developed to detect hard hats in construction zones. To solve this problem, the SSD-Mobile Net technique uses convolutional neural networks. Photographs of safety helmets taken either manually from a company's video surveillance system or automatically through a web crawler may be made available to the general public. The picture set includes a training, a validation, and a test set. Our findings show that a deep learning model built using the SSD-Mobile Net method can reliably identify potentially hazardous behaviours on a construction site, such as the removal of a hard cap.
QUALITY MANAGEMENT OF HEALTHCARE FOOD PRODUCTION IN AGRICULTURAL FOREST FIELDS USING VEGETATION INDICES WITH MULTISPECTRAL DRONE MAPPING IMAGES Journal of Environmental Protection and Ecology, 2022
Micro machined multilayered miniaturized filter International Journal of Recent Technology and Engineering, 2019
Remote sensing for UREA Spraying Agricultural (UAV) system S. Meivel, K. Dinakaran, N. Gandhiraj, M. Srinivasan Icaccs 2016 3rd International Conference on Advanced Computing and Communication Systems Bringing to the Table Futuristic Technologies from Arround the Globe, 2016
