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Journal : Journal of Computer Science and Engineering (JCSE)

Color-Based Image Processing for Autonomous Human Following Trolley Robot Navigation with Camera Vision Artono, Budi; Nugroho, Widya; Wahyudi, Rizki
Journal of Computer Science and Engineering (JCSE) Vol 5, No 1: February (2024)
Publisher : ICSE (Institute of Computer Sciences and Engineering)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid advancements in the field of robotics have spurred intensive research, particularly in the industrial sector, aiming to develop robots that can assist in simplifying daily human tasks. One emerging area of research involves the design of a cargo-carrying robot trolley. This trolley robot has the capability to follow a person carrying items by recognizing the color of the clothes worn by that person through image processing. The objective of this research is to facilitate the transportation of goods, especially in airport environments, by enabling the robot to identify and follow human objects with a minimum distance of 30 centimeters and a maximum distance of over 3 meters. The design system of this robot trolley utilizes a camera sensor to detect the object to be followed through image processing using OpenCV on the Microsoft Visual Studio 2012 platform. The image processing results in PWM values sent to the Arduino to drive DC motors. Additionally, ultrasonic sensors are employed to restrict the robot's movement in its surroundings, preventing collisions. The robot's speed can adjust according to the walking speed of a person. If the robot is moving too fast, it will be stopped by the ultrasonic sensor when the distance between the robot and the person being followed is less than 30 cm, avoiding collisions between the robot and the person.
Sistem Monitoring Mesin Pengaduk Adonan Roti Otomatis berbasis Internet of Things (IoT) Artono, Budi; Prakoso, Dimas Nur; Lestari, Tri Annisa Widya
Journal of Computer Science and Engineering (JCSE) Vol 4, No 1: February (2023)
Publisher : ICSE (Institute of Computer Sciences and Engineering)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jcse.v4i1.660

Abstract

The purpose of this research is to develop an Internet of Things (IoT)-based automated bread dough mixing machine monitoring system using ultrasonic sensors and an integrated load cell sensor with a solenoid valve. The system is designed to control the distance between each bowl of dough ingredients and measure the weight of the mixed dough using a smartphone as the control interface. Additionally, the system allows users to issue on/off commands to the solenoid valve. This system provides detailed monitoring of the mixed blue dough ingredients. The research is conducted through several stages, including literature review, system design, hardware development, software development, implementation and integration, and testing. The testing phase involves both hardware and software components to ensure their functionality.