International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 03 | Mar 2025
p-ISSN: 2395-0072
www.irjet.net
Automated Ferrous and NonFerrous Sorting using Inductive Proximity Sensor with Conveyor Belt and Live Monitoring Rushikesh Kurtadkar1, Ketaki Lokare2, Sujata Patil3, Riddhi Kadam4, Prof. S. C. Saraf5 1234Electronics and Telecommunication Engineering, JSPM NAHRE TECHNICAL CAMPUS, PUNE, MAHARASHTRA 5Electronics and Telecommunication Engineering, JSPM NAHRE TECHNICAL CAMPUS, PUNE, MAHARASHTRA
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Abstract –
separates the items based on the type of classification determined by the sensor. The system is controlled by an ESP8266 microcontroller, which guarantees proper and efficient operation.
The proper separation of ferrous and non-ferrous metals plays a critical role in recycling and manufacturing processes. This research proposes an automatic metal sorting system that involves the use of an inductive proximity sensor with a conveyor belt system. The system operates based on object detection laid on the conveyor belt by the inductive proximity sensor, which determines whether the object is ferrous or non-ferrous. A motorized sorting system, consisting of a vertically mounted motor with a mounted thin sheet, facilitates efficient sorting. The motor runs in its natural mode to sort non-ferrous metals and reverses its mode when ferrous metals are detected, ensuring accurate separation. An ESP32-CAM module, used for real-time monitoring and live streaming, is part of the system, which facilitates remote monitoring of the sorting processes. An ESP8266 microcontroller, integrated with an L298N motor driver, controls the operational processes of the system. An AI-based counter, which tracks the count of ferrous and non-ferrous objects sorted, is also part of the system. This project proposes a cost-effective and automated solution towards metal sorting, with high applicability in waste management, recycling, and industrial automation.
1.2 Real Time Monitoring To further improve monitoring and data acquisition, the system incorporates an ESP32-CAM module for real-time streaming of the sorting process. Moreover, the system includes an AI-driven counter that monitors the volume of ferrous and non-ferrous objects sorted, showing real-time figures. The integration of automation, sensor technology, and AI enhances the accuracy of sorting and facilitates remote monitoring, thus being a cost-efficient solution for industrial and recycling processes.
1.INTRODUCTION Metal segregation is an important operation in recycling, waste treatment, and manufacturing industries. Effective differentiation between ferrous and non-ferrous metals enhances the efficacy of resources and minimizes environmental degradation. The conventional sorting procedure is based on manual intervention, which is error-prone and time-consuming. To overcome such limitations, automated metal sorting equipment with sensors and real-time monitoring has become indispensable.
Chart -1: Metal Sorting Over Time The graph displays the count of ferrous and non-ferrous items separated over time by the automatic metal sorting system. With time passing, the count of both ferrous and non-ferrous metals increases, reflecting the steady operation of the system. The non-ferrous items are separated at a slightly increased rate than ferrous items because of their greater prevalence or quicker default separation process. This visualization assists in examining the efficiency and regularity of the sorting process throughout a specified period of time.
1.1 Metal Sorting using Inductive Proximity Sensor This research project involves the creation of an automatic sorting system for metals, utilizing an inductive proximity sensor to detect ferrous and non-ferrous material. The items are placed on a conveyor belt, where the sensor detects the material type. A motorized sorting system
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