Implementation of IoT and image processing for reverse vending machine

Tan, Hor Yan (2021) Implementation of IoT and image processing for reverse vending machine. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

It is necessary to protect the world we live in in this society today, with the rising rate of ozone depletion. Recycling is one of the numerous ways of environmental protection to maintain a healthy hub for future generations. Recycling refers to the reprocessing for reuse of recycled waste material, which includes the collection, sorting, refining and conversion into a raw material which can be used to develop new items. To make the recycling program more effective, many countries start to develop Reverse Vending Machine(RVM). This machine is the advanced technology to replace the recycle bin. Reverse vending machines have appeared all around the world. Especially in Japan, Norway, and Sweden. Our machine allows aluminium cans, plastic bottles, and carton boxes to be recycled by the customer thus earn incentives after recycling. This project is more focused on using image processing can classify the object into aluminium cans, plastic bottles, and drink carton box. The manipulation of images via computers consists of digital image processing. In previous centuries, its use has been increasing significantly. Its uses range from healthcare, geographical processing, and remote sensing to entertainment. First, the data must be prepared to complete this project, which means starting with a collection of pictures and sorting them into their associated categories. So, develop a model of deep learning. It may be best to start with a pre-trained model while constructing a deep learning model from scratch. Train the model, then. Model training requires presenting to the model the performance data. The model will then iterate several times over the data and learn the most appropriate features related to the image automatically. Try to test the data after the train, after the model. Test the latest data that the model has not yet seen before to see that the picture is accepted by the model. All of the steps above can be done by using MATLAB software. The IoT is a network which connected between the computer devices, mechanical and digital machinery, etc which able to transfer data without having any interaction. A person with a heart monitor implant, a farm animal with a biochip transponder, an automobile with built-in sensors to inform the driver when tire pressure is low, or any other natural or man-made object that can be issued an Internet Protocol (IP) address and can send data across a network are all examples of items in the IoT. Organizations across a wide range of industries are increasingly adopting this approach. The manufacturing industry will gain substantially from the IoT, and the usage of sensors will considerably increase the quality and speed of the manufacturing process. Consider the idea of smart manufacturing systems that can make data-driven decisions and take corrective action to prevent causing damage to the components or systems. There are a variety of instances in which it is necessary to monitor a process and deliver an alert whenever a problem arises. Sensors and monitoring systems will aid in the resolution of these issues. During a manufacturing process, we must keep an eye on the alignment of a component but with IoT system we are constructing must be able to detect this component's acceleration or deceleration. These factors play a significant role in the overall process quality. A component that transfers from one machine to another during the manufacturing process is an example of a scenario where this monitoring system might be used. In this case, we are interested in keeping track of its position, or, better yet, its alignment, as well as the forces operating on it. What if we want to transmit an alarm as soon as something goes wrong with the production machinery, or if the component the machine is working on accelerates or decelerates throughout the manufacturing process? To accomplish this, the IoT monitoring system must be coupled with an IoT cloud platform so that we can send a short message to a user's mobile phone, for example. IoT used in this reverse vending machine is to monitor the reverse vending machine condition. The apps or website that used to perform IoT is ThingSpeak. Through this website, we are allowed to monitor the reverse vending machine condition although we are far from the machine. Thus, when the reverse vending machine is full, the LED light in the website will change to red from green color and it will also send an email to notify us.

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