FlexiFold: Sensor-Based Automatic Shirt Folding Machine with Dynamic Size Adjustment

Abstract

Folding t-shirts manually is a known time-consuming chore. In recent times, automation has played a crucial role in boosting productivity, cutting down manual efforts, and enhancing overall efficiency. Automated folding machines have surfaced as a result. This paper aims to create a Sensor-Based Automatic Shirt Folding Machine with Dynamic Size Adjustment. The study utilizes sensors, motors, and a microcontroller to efficiently fold t-shirts of different sizes, categorized as kid’s, adult’s, and plus size. The machine uses a mechanism called feedback and control to ensure successful folding. The machine's process includes the evaluation of sensors, an adjustment mechanism, folding, and stacking. Performance evaluation of the machine was conducted, focusing on folded shirt accuracy in terms of output dimensions and the time taken for folding. The results indicate a 5% error rate in achieving the desired dimensions and an average folding speed of 8.67 seconds per shirt. This project holds promise for further improvement and potential use in the clothing industry.