This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.
Jose Tom Thoomkuzhy,
Mons Varghese,
Sebin Jose,
Sravan Ragh Joshy,
Ranjitha Rajan,
Praseeda B Nair,
- Student, Department of Electronics and Communication Engineering, Amal Jyothi College of Engineering, Kanjirapally, Kerala, India
- Student, Department of Electronics and Communication Engineering, Amal Jyothi College of Engineering, Kanjirapally, Kerala, India
- Student, Department of Electronics and Communication Engineering, Amal Jyothi College of Engineering, Kanjirapally, Kerala, India
- Student, Department of Electronics and Communication Engineering, Amal Jyothi College of Engineering, Kanjirapally, Kerala, India
- Associate Professor, Department of Electronics and Communication Engineering, Amal Jyothi College of Engineering, Kanjirapally, Kerala, India
- Assitant Professor, Department of Electronics and Communication Engineering, Amal Jyothi College of Engineering, Kanjirapally, Kerala, India
Abstract
Ironing continues to be a lengthy and sometimes monotonous activity in domestic chores; especially among those with busy schedules who need to ensure efficiency and minimize risks of harming delicate fabrics. This document discusses the design and development of an intelligent ironing machine that performs ironing tasks using embedded computing and multi-sensor fabric identification. Unlike traditional irons that depend entirely on the manually chosen temperatures and user discretion, the developed system uses a network of sensors to detect the fabric type at runtime and adapt its ironing settings to prevent scorching, shine marks or any other form of fabric damage. The ironing machine has a structure that consists of a frame with a mechanism to hang clothes for ironing in suspension rather than laying them on a flat board. The steam generation subsystem operates together with a vertically moving ironing head that goes up and down the garment ironing it and ensuring heat and humidity distribution throughout the fabric surface. To ensure users’ safety from steam during ironing, the system is designed with an operating chamber having an automatically closing door. Also, it is equipped with a touch screen interface that enables users to choose a fabric program and see what fabric type is selected with the temperature requirements.
Keywords: Smart iron, fabric detection, sensor fusion, automatic temperature control, IoT , embedded systems
References
- Kavitha P, Dineshkumar M, Ezhilkumaran S, Devendhiran S. Smart Iron Box with Automatic Fabric Detection and Temperature Control. International Journal of Engineering & Extended Technologies Research (IJEETR). 2026 Mar 28;8(2):2731-8..
- CN JJ, Kamali G, Gokul V. Deep Learning-Based Smart Ironing System with Fabric-Specific Temperature Control and Multi-Layer Safety Mechanisms. In2026 IEEE International Conference on Emerging Computing and Intelligent Technologies (ICoECIT) 2026 Jan 28 (pp. 1-6). IEEE..
- Hettiarachchi TI, Ruwanthika RM, Perera KL. Implementing an Automatic Temperature Controller Based on Real-Time Fabric Classification for a Smart Ironing Appliance. In2025 Moratuwa Engineering Research Conference (MERCon) 2025 Aug 14 (pp. 1-6). IEEE.
- Ding K, Yao C, Li Y, Hao Q, Lv Y, Huang Z. A review on fault diagnosis technology of key components in cold ironing system. Sustainability. 2022 May 19;14(10):6197.
- Chanchiewvichai W, Rianmora S, Patmayothin N. Designing everyday essentials: a guide for user-friendly accessibility using Quality Function Deployment. Cogent Engineering. 2024 Dec 31;11(1):2387826.
- Rajkumar K, Valli A, Krishnan RS, Karpagarajesh G, Sundararajan S, Narayanan KL. Cutting Edge Ironing Technology: Smart Laundry Cart System. In2023 4th International Conference on Smart Electronics and Communication (ICOSEC) 2023 Sep 20 (pp. 174-181). IEEE.
- Prasad GS, Dhanushrii TS, Resmi R. Solar Powered Iron Box with MPPT Mechanism. In2025 Innovations in Power and Advanced Computing Technologies (i-PACT) 2025 Sep 25 (pp. 1-5). IEEE.
- Kumar A, Tripathi RC, Kumar A. Design of a smart iron power switching device. InAIP Conference Proceedings 2023 Feb 27 (Vol. 2427, No. 1, p. 020029). AIP Publishing LLC.
- Adebisi JA, Abdulsalam KA. IOT smart home: implementation of a real-time energy monitoring pressing iron. InInternational Conference on Innovative Systems for Digital Economy| ISDE 2021 (pp. 7-18).
- Đặng N. A Note on Remote Temperature Measurements with DS18B20 Digital Sensors.
- Ardak P. A Comparative Analysis of Power Consumption in Conventional and Differential–Less Drive for Electric Vehicle.
- De Bakker B. Force Sensing Resistor (FSR) with Arduino Tutorial. Verfügbar unter: https://www. makerguides. com/fsr-arduinotutorial/(Zugriff am: 26. 2020 Dec;15(09).
- Semiconductors V. Reflective Optical Sensor with Transistor Output. Folha de dados. Ago. 2009.
- Hamed AH, Sharkawy AN, Hamdan I, Maghrabie HM. Experimental study on performance enhancement of smart PV water cooling using a built ON–OFF temperature control application in a digital embedded system. Environmental Progress & Sustainable Energy. 2026 May;45(3):e70162
| Volume | 04 | |
| 02 | ||
| Received | 23/07/2026 | |
| Accepted | 27/07/2026 | |
| Published | 01/08/2026 | |
| Publication Time | 9 Days |