Application of ESP32-CAM for Cloud-Based Surveillance System in 3D Printing Machine

Ilham Saputra(1*), Khoirul Ashabi(2)

(1) National Yunlin University of Science and Technology
(2) Politeknik Negeri Bengkalis
(*) Corresponding Author

Abstract


The working monitoring process at this time requires accuracy and foresight to maximize the work results. One of them is the process of manufacturing on a 3d Printing machine that requires monitoring, where the printing process is very susceptible to failure caused by several factors when the machine is processing. Therefore, innovations are needed to anticipate work activities by utilizing the Internet of Things (IoT) feature to perform the monitoring process anywhere and anytime. We propose the new development system using ESP32-CAM microcontroller to be used in this study by utilizing the wireless features found on the board. The working process can be adequately monitored by connecting the IP address tunnel from the local port to the ngrok Server. The design and manufacture of this tool use ESP32-CAM which has been applied to a programming language that is uploaded using the Arduino IDE. The final result of this research is the manufacturing process on 3D printing machines can be monitored in real-time and cloud-based. The monitoring process will display an image connected to the local port using tunneling from the ngrok Server.

Article metrics

Abstract views : 41 | views : 12

Full Text:

Hal 1-6

References


Wahyono, A. Dharmawan, A. Harjoko, Chrystian, and F. D. Adhinata, “Region-based annotation data of fire images for intelligent surveillance system,” Data Brief, vol. 41, p. 107925, Apr. 2022, doi: 10.1016/j.dib.2022.107925.

C. Lu, J. Liu, Y. Liu, and Y. Liu, “Intelligent construction technology of railway engineering in China,” Front. Eng. Manag., vol. 6, no. 4, pp. 503–516, Dec. 2019, doi: 10.1007/s42524-019-0073-9.

G. Soni, S. S. Saini, S. S. Malhi, B. K. Srao, A. Sharma, and D. Puri, “Design and Implementation of Object Motion Detection Using Telegram,” in 2021 International Conference on Technological Advancements and Innovations (ICTAI), Tashkent, Uzbekistan, Nov. 2021, pp. 203–206. doi: 10.1109/ICTAI53825.2021.9673226.

C.-Y. Cheng, J.-C. Renn, I. Saputra, and C.-E. Shi, “Smart Grasping of a Soft Robotic Gripper Using NI Vision Builder Automated Inspection Based on LabVIEW Program,” Int. J. Mech. Eng. Robot. Res., pp. 737–744, 2022, doi: 10.18178/ijmerr.11.10.737-744.

X. Zhang, J. Chu, and S. Wei, “Design and Simulation of Remote Monitoring System of 3D Printer Based on Cloud Platform,” in 2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), Shenyang, China, Nov. 2020, pp. 290–293. doi: 10.1109/AUTEEE50969.2020.9315625.

M. Babiuch and J. Postulka, “Smart Home Monitoring System Using ESP32 Microcontrollers,” in Internet of Things, F. Pedro García Márquez, Ed. IntechOpen, 2021. doi: 10.5772/intechopen.94589.

“ESP32 Wi-Fi & Bluetooth MCU I Espressif Systems.” https://www.espressif.com/en/products/socs/esp32 (accessed Oct. 05, 2022).

G. Yiming, Z. Rong, Z. Zhisheng, and C. Zhen, “Design of remote monitoring system for 3D printing based on cloud platforme,” in 2017 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), Auckland, Nov. 2017, pp. 1–5. doi: 10.1109/M2VIP.2017.8211503.


Refbacks

  • There are currently no refbacks.