https://matjournals.net/engineering/index.php/RTSST <p>Recent Trends in Semiconductor and Sensor Technology is a peer-reviewed journal in the field of Electronics published by the MAT Journals Pvt. Ltd. RTSST is print e-journal focused towards the rapid Publication of fundamental research papers on all areas of Semiconductor and Sensor Technology. This Journal involves the basic principles of Emerging trends and developments in semiconductor materials and devices, Novel sensor technologies and their applications in various fields, Micro- and nano electronics and their applications, Integration of sensors with different technologies, such as IoT, AI, and wearable devices, Fabrication techniques and processes in semiconductor technology, Signal processing and data analysis methods for sensors and semiconductor devices. The Journal aims to promote high-quality Research, Review articles, and case studies mainly focussed on Miniaturization and Micro electromechanical Systems (MEMS), Internet of Things (IoT), sensor integration, fabrication techniques, Quantum computing, multi-sensor systems, CMOS, Optical Sensors, and Light Emitters,and sensor fusion. This Journal involves the comprehensive coverage of all the aspects of Semiconductor and Sensor Technology.</p> MAT JOURNALS PRIVATE LIMITED en-US Recent Trends in Semiconductor and Sensor Technology https://matjournals.net/engineering/index.php/RTSST/article/view/3745 <p><em>Rapid urbanisation and population growth have dramatically increased the amount of municipal solid waste generated globally. Improper disposal of waste and lack of source segregation cause environmental pollution, health hazards and recycling process problems. In this paper, the design and development of an EcoSort Smart Waste Management System using sensor-based technology is presented. The proposed system is an automated waste classification system that classifies the waste into wet, dry, and metallic categories using IR sensors, moisture sensors, and metal detection sensors integrated with Arduino Nano controllers. The system automates waste sorting with minimum human intervention using servo motors, conveyor mechanisms, relays, and electromagnets. The LCD is used to monitor operational status and waste classification. Experimental evaluation reveals the ability of the system to segregate household waste with satisfactory accuracy and reduced processing time. The proposed model will offer a cost-effective, scalable, and eco-friendly solution for smart waste management for households, institutions and urban communities.</em></p> Vikram D. Deshmukh Vitthal Shinde Sanchita Shinde Chetana Anarase Devasya Kumar Singh Chinmay Deshpande Copyright (c) 2026 Recent Trends in Semiconductor and Sensor Technology 2026-06-22 2026-06-22 1 9