GREEN TECHNOLOGY BASED INTEGRATED MECHATRONICS SYSTEM WITH IOT BASED MONITORING AND SEGREGATION MECHANISM USING ARDUINO UNO

Abstract

The rise of practical and adaptable mechatronic systems is shaping the modern landscape of automation and sustainable technology. To meet the demands for efficiency, precision, and large-scale production, this Capstone Project presents a novel Four-Category Color-Based Product Segregation System. Powered by an Arduino Uno with ATS power supply backup, the system classifies products into four color-coded categories: Blue, Green, Red, and Yellow. It also includes a real-time notification feature that alerts administrators when storage bins are full, ensuring accurate tracking of segregated and ready-to-pack products. This study utilizes an experimental prototyping approach, where the system is developed and tested to assess its feasibility. According to Smith (2021), prototyping allows for the refinement of ideas before full-scale implementation. The Prototyping Model, a widely used Systems Development Methodology (SDM), involves iterative cycles of prototype creation, testing, and modification until an acceptable version is produced, which then serves as the basis for the final system development. The successful testing of the system confirms its feasibility for automated product classification, offering potential improvements in efficiency and production quality. The researchers also evaluated the system based on survey responses from fifty (50) employees of Republic Biscuit Corporation (REBISCO) at General Luis St., Brgy. Nagkaisang Nayon, District 2, Novaliches, Quezon City. This Capstone Project demonstrates the feasibility and effectiveness of automating color-based product segregation integrated with mass-production capabilities. It underscores the importance of interdisciplinary collaboration and technological innovation in creating cost-effective automation solutions and fostering sustainable product management. Further advancement and application of such systems offer promising opportunities for developing adaptable mechatronic technologies suited to the evolving demands of automation and sustainability.