Next-Gen Intelligent Waste Sorting and Monitoring Framework using EfficientNet A. Syed Musthafa, S. Meivel, M. Varshini, R. Vedhasya, D. Subhika, A. L. Vedhika Proceedings of 6th International Conference on Expert Clouds and Applications Icoeca 2026, 2026 The amount of waste in cities is getting bigger every day. This is a problem for the environment and for keeping our cities clean. When we do not throw away waste properly it makes our surroundings dirty and not safe. To deal with this problem this project is going to use a waste segregation system. This system will automatically find out what kind of waste it is and sort it. The smart waste segregation system uses a camera to take pictures of the waste. Then a program that uses intelligence looks at the pictures to figure out if the waste is biodegradable or non-biodegradable. The smart waste segregation system is really good, at sorting waste. The result shows where the waste goes. It gets sent to the place by a machine. This means people do not have to touch the waste. The machine helps keep everything clean. The waste goes to the compartment through this machine so people are not in contact, with the waste and this helps to keep the sanitation good. The waste is directed to the compartment and this is done automatically by the machine. The smart bin has sensors that can find out if there is a fire or bad gas, inside it. These sensors check for problems that can happen when waste is breaking down. The smart bin also keeps an eye on how full it's and tells the people in charge when it is full. They get a message so they can empty the bin. If nobody empties the smart bin people can complain about it on the internet. This helps to get the problem fixed faster. The smart bin also has a GPS so we can see where it is all the time. It is connected to the cloud so we can check on it always. The smart bin is a way to keep track of waste and make sure everything is working properly. Overall, this smart waste management solution helps keep cities cleaner, safer, and more environmentally friendly.
Automatic Soil Irrigation System using Internet of Things S Meivel, Siva Pragash S, Sudharsan R, Sridharan S Proceedings of 5th International Conference on Trends in Material Science and Inventive Materials Ictmim 2025, 2025 Efficient use of water resources in agriculture is extremely important for sustainable agriculture. The present paper proposes a novel automatic soil irrigation system to minimize the usage of water based on the actual content of soil moisture. The system integrates moisture sensors, a microcontroller and an automatic valve controller. The proposed system is precise in irrigation, saving water and providing the crop with the optimal amount of water. Experimental findings prove the efficacy of the system to manage soil water to the required level without much manipulation by man. It is scalable and may be utilized in diverse farm settings, and it achieves cost saving as well as environmental sustainability. The data is processed by IoT device that triggers automatic watering the instant the water level in the soil drops below a set reading. The system can be remotely accessed and monitored via web or mobile applications in a bid to enable farmers to efficiently manage watering.
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 Violence against women remains a pressing issue in many societies, requiring innovative technological solutions to ensure safety and security. This project proposes a smart safety device designed using an Arduino Nano, integrated with multiple modules such as a GSM/GPS system, a camera, and a pepper spray motor for emergency responses. The system also includes body temperature and heartbeat sensors to monitor physiological signals, along with an accelerometer sensor to detect abnormal movements, triggering alerts in case of potential threats. An emergency key activates immediate responses, including alerting law enforcement via GSM, notifying guardians through Wi-Fi or LoRa (Long Range) communication, and activating a buzzer for local awareness. Additionally, an LCD provides real-time updates, ensuring the user is informed of the device's status. By incorporating LoRa technology, the system extends its communication range significantly, enabling alerts to be transmitted over long distances with low power consumption. This is particularly advantageous in rural or remote areas where cellular connectivity may be limited. The combination of wearable IoT sensor nodes, LoRa communication, and advanced safety mechanisms makes this solution highly effective and versatile. The project not only offers a cost-effective safety solution for the general public but also provides supervisory management capabilities for law enforcement agencies. The ultimate aim is to empower women and foster a safer environment through cutting-edge, reliable technology.
Research analysis of data exploration and visualization dashboard using data science D. Faridha Banu, P. T. Kousalya, Kavin Varsha, C. Keerthi Prashanth, P. Madhumohan, S. Meivel 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
