The Smart Automated Onion Skin Peeling Machine is designed to reduce manual labor and improve peeling efficiency using a parallel roller mechanism driven by 12V DC geared motors. Onion presence is detected using an IR Proximity Sensor, while operating conditions are monitored using a DHT11 Temperature and Humidity Sensor to ensure stable performance. An HX711 Load Cell measures onion weight for batch control and uniform processing. Peeling completion and motor load variations are monitored using a Limit Switch and ACS712 Current Sensor, which help prevent over-peeling and mechanical damage. The system is controlled by an Arduino Uno / ESP32 microcontroller, programmed through the Arduino IDE. Operational data such as weight, motor current, and environmental parameters are transmitted to the cloud using Thing Speak for real-time monitoring and analysis. Python is used for data processing, automation logic, and performance evaluation. This system enhances peeling uniformity, improves safety, optimizes energy consumption, and provides a cost-effective smart solution for small- and medium-scale onion processing industries.
Karthikeyan et al. (Thu,) studied this question.