Prototype Design Internet of Things Based Waste Management Using Image Processing

Abstract

Waste is currently a serious problem often found in rural areas, rural areas, and even industrial areas. Waste is a side effect of activities carried out by humans to meet social or industrial needs. Increasing human productivity will also increase the amount of waste produced. To overcome this, a sorting management system is needed. Good waste is seen from the processing method to the recycling process. The waste management problem still relies on the old system transporting and disposing of waste to the final disposal site (TPA). The TPA itself sometimes piles up in one place so that the waste process becomes uneven and the sorting process is not good, causing type waste. This accumulates and mixes with other hazardous waste. In today's modern era, the management and sorting system is the same. Object detection and waste classification are carried out in the Sensor system to introduce the previously prepared model. The prototype article recognition model is prepared with waste images to produce a freeze forecast graph used for object discovery which is carried out via the camera associated with the Arduino Uno as the basic unit handling. Ultrasonic sensors are inserted into each garbage compartment to filter out the refill filling rate. The sorting system itself can use computer-based image processing methods. Image Processing is used to process data in real-time and fill the trash level. The sensor module that is implanted to detect waste management personnel, the results of this study prove that image management can accommodate waste particles and tested in the BlackBox method produces results following the required quantitative with the accuracy in both the camera, sensor, and image process used can detect an average of 70%.

Image Processing and Recognition Algorithm Design in Intelligent Imaging Device System

“…In particular, with the continuous development of microprocessors, more and more microprocessor-based image sensors are appearing in different fields and moving toward high resolution, high frame rate, and high definition. In order to obtain these image data, the research of image acquisition systems is also a hot spot of concern [6]. After years of development, image acquisition systems have gained a pivotal position in military, medical, and industrial fields.…”