Author(s)

Jialiang Zhang ¹, Yan Qi ¹

Affiliation(s)

¹ University of Science and Technology Liaoning, Anshan, 114051, Liaoning, China

Corresponding Author

Yan Qi

ABSTRACT

Traditional industrial inspection relies on fixed sensors and cameras, which suffer from limited monitoring range, incomplete field perception and high hardware costs, failing to meet the real-time and comprehensive monitoring demands of modern industrial production under Industry 4.0. To address these issues, this paper designs a dynamic industrial inspection system based on the Internet of Things, which deploys a highly integrated inspection device on a customizable O-shaped closed track. The device integrates a drive motor with an encoder, a 3D pan-tilt, a high-definition camera, and multi-type environmental sensors, and adopts STM32F103C8T6 as the core controller, matching OpenMV for image acquisition and ESP8266 for wireless communication. The system realizes dynamic patrol of industrial sites through orbital movement, adjusts the camera angle in real time via pan-tilt inverse kinematics solution, and transmits image and environmental data to the upper computer for real-time processing by the YOLOv8 model, realizing accurate target recognition, product defect detection and environmental safety monitoring. It also achieves precise positioning and calibration of the inspection device through encoder integration and infrared sensor recognition. Physical tests show that the system can comprehensively monitor industrial sites with fewer detection devices, realize fast and accurate target recognition and real-time environmental monitoring, and effectively improve the efficiency and intelligence of industrial inspection while reducing hardware costs. The research provides a practical technical solution for the intelligent transformation of industrial on-site monitoring.

KEYWORDS

Internet of Things, Dynamic Industrial Inspection, Machine Vision, STM32, YOLOv8, Multi-sensor Detection

CITE THIS PAPER

Jialiang Zhang, Yan Qi. Design of a Dynamic Industrial Inspection System Based on the Internet of Things. Advances in Computer, Signals and Systems (2026). Vol. 10, No. 1, 119-125. DOI: http://dx.doi.org/10.23977/acss.2026.100115.

REFERENCES

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