JERAJournal of Electronic Research and Application2208-35022208-3510Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jera.v10i4.14917ArticleDesign and Optimization of Visual Algorithms for Inspection Robotshttps://artdesignp.com/journal/JERA/10/4/10.26689/jera.v10i4.14917ZhangYong,TuZuling,QianYanan,ZhangRuiyang,LiJin20261042026-05-21As an important equipment for intelligent operation and maintenance, inspection robots have been widely used in high-risk and complex scenarios such as power, mining, and chemical industries. The visual system, as the “eyes” of inspection robots, undertakes tasks including image enhancement, navigation and positioning, target recognition, and error correction, and its performance directly affects the robots’ autonomous operation capabilities. Currently, the visual algorithms of inspection robots still face several problems, such as poor adaptability to complex environments, insufficient navigation accuracy, difficulty in balancing target recognition accuracy and real-time performance, and weak adaptability of error correction. Combined with the current application status of inspection robots, this paper elaborates on the design ideas of the four major modules of visual algorithms and proposes optimization strategies for existing problems, providing references for improving the autonomous inspection capabilities of inspection robots and promoting the upgrading of intelligent inspection technology.

Li P, Cheng C, Zang R, 2025, Research on Visual Image Enhancement of Inspection Robots in Relay Rooms of Thermal Power Plants Based on UM-HE. Power Equipment Management, 2025(1): 177–179.

Huang W, Xie H, Xin T, et al., 2024, Visual Navigation Method for Intelligent Inspection Robots in Substations Based on Lidar and IMU Fusion. Machine Design and Manufacturing Engineering, 53(12): 42–46.

Ren B, 2022, Uncalibrated Visual Servo Control System of Mining Inspection Robots Based on YOLO-V4. Coal Technology, 41(10): 216–218.

Yang Q, Fan S, 2023, Visual Navigation Method for Power Inspection Robots Based on Image Preprocessing and Semantic Segmentation. Journal of Electric Power Science and Technology, 38(6): 248–258.

Feng S, Zhang T, Ma C, et al., 2023, Visual Error Correction Method for Power Inspection Robots Based on Elman Neural Network. Automation & Instrumentation, 2023(2): 253–257+262.

Zhou J, Ge D, Cong P, et al., 2023, Visual Navigation Method for Indoor Inspection Robots Based on Optimized RTAB-Map. Journal of Guangxi University of Science and Technology, 34(1): 79–84.

Lin H, Wang N, 2024, Application Research of Visual Navigation Technology in Power High-Voltage Line Inspection Robots. Instrumentation Customer, 31(11): 52–54+57.

Yin H, Fan S, Yang Q, 2022, Research on Adaptive Fusion Navigation Method of Vision and Laser for Intelligent Power Inspection Robots. Journal of Electric Power, 37(3): 209–218.

Yu S, Li Z, Deng W, 2022, Design of Visual System for Power Inspection Robots Based on Quadrotor UAV. Research and Exploration in Laboratory, 41(1): 74–79.

Sun X, Song L, 2021, Inspection Robot Detection Method Based on Autonomous Positioning and Navigation and Deep Learning Visual Perception. Journal of Heilongjiang University of Technology (Comprehensive Edition), 21(5): 62–67.

Yang T, Li Y, Chen J, et al., 2020, Visual Recognition Method for Inspection Robots Based on Background Subtraction. Machinery & Electronics, 38(12): 60–64.