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AR Simulasi: An Augmented Reality Real-Time Cloud-based Simulation for Off-Site Monitoring in Industrial Manufacturing Application |
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| รหัสดีโอไอ | |
| Creator | Siti Aisyah Jaafar, Sukarnur Che Abdullah, Mohammad Azzeim Mat Jusoh, Farok Azmat, Ahmed Jaffar |
| Title | AR Simulasi: An Augmented Reality Real-Time Cloud-based Simulation for Off-Site Monitoring in Industrial Manufacturing Application |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2564 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 12 |
| Journal No. | 9 |
| Page no. | 12A9D: 1-9 |
| Keyword | Augmented Reality (AR), Internet of Things (IoT), 3D Visualization, Real-time remote monitoring, AR conveyor testing, AR-IoT application, Color sorting conveyor, CAD design, AR-IoT application, AR conveyor machine animation, Unity 3D, Accuracy of the color sensing process, Error from IDE, IDE debug. |
| URL Website | http://TuEngr.com/Vol12_9.html |
| Website title | ITJEMAST V12(9) 2021 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | The conventional AR-IoT applications only specialize in the localized area for on-site application, thus leaving a research gap in the utilization of Augmented Reality (AR) for off-site monitoring purposes. Thus, this paper introduces AR-Simulasi, the use of AR as support to off-site IoT monitoring data visualization. An experiment investigates the ability to establish an off-site monitoring system using the AR visualization approach for the AR-Simulasi application. This study applies to a simple material handling system, which is a color sorting conveyor. The real-world machine was re-designed in CAD and imported into Unity to create a working simulation. The simulation is in-sync with the movements of the real machine through the communication between smart sensors and ESP32 microcontrollers. The connection is cloud-based and using MQTT to communicate between different devices. The AR-Simulasi application is easily accessible and can be used to view the real-time processes of the conveyor in 3D visualization. The number of colored cubes, color errors, and several controls are projected in the application's interface. The relationships between accuracy and augmented simulation error were investigated. The result shows the maximum lag time of around one second. The presented results show great potential for improvements in the current AR-IoT monitoring applications for industrial uses. |
