YOLO-DRIVEN REAL-TIME CENTRALISED HVAC TEMPERATURE MONITORING VIA AUTONOMOUS INSPECTION ROBOTS IN SMART FACTORIES

Ruohuai Sun∗ and Bin Zhao∗,∗∗

References

  1. [1] A. Ahmed, A. Imran, A. Manaf, Z. Kastrati, and S.Daudpota, Enhancing wrist abnormality detection with yolo:Analysis of state-of-the-art single-stage detection models,Biomedical Signal Processing and Control, 93, 2024,106144.
  2. [2] H. Moussaoui, N. Akkad, M. Benslimane, W. El-Shafai,A. Baihan, C. Hewage, and R. Rathore, Enhancingautomated vehicle identification by integrating YOLOv8 and OCR techniques for high-precision license platedetection and recognition, Scientific Reports, 14(1), 2024,14389.
  3. [3] M. Lu, W. Sheng, Y. Zou, Y. Chen, and Z. Chen, WSS-YOLO: An improved industrial defect detection network forsteel surface defects, Measurement, 236, 2024, 115060.
  4. [4] M. G¨und¨uz and G. I¸sık, A new YOLO-based method for real-time crowd detection from video and performance analysis ofYOLO models, Journal of Real-Time Image Processing, 20(1),2023, 5.
  5. [5] X. Shen, G. Shi, H. Ren, and W. Zhang, Biomimetic visionfor zoom object detection based on improved vertical gridnumber YOLO algorithm, Frontiers in Bioengineering andBiotechnology, 10, 2022, 905583.
  6. [6] V. Agarwal and G. Bansal, Automatic number plate detectionand recognition using YOLO world, Computers and ElectricalEngineering, 120, 2024, 109646.
  7. [7] K. Mimura, K. Nakamura, K. Yasukawa, E. Sibert, J. Ohta,T. Kitazawa, and Y. Kato, Applicability of object detection tomicrofossil research: Implications from deep learning modelsto detect microfossil fish teeth and denticles using YOLO-v7,Earth and Space Science, 11(1), 2024, e2023EA003122.
  8. [8] X. Zhu, R. Wang, W. Shi, X. Liu, Y. Ren, S. Xu, and X.Wang, Detection of Pine-wilt-disease-affected trees based onimproved YOLO v7, Forests, 15(4), 2024, 691.
  9. [9] P. Movahed, S. Taheri, and A. Razban, A bi-level data-drivenframework for fault-detection and diagnosis of HVAC systems,Applied Energy, 339, 2023, 120948.
  10. [10] D. Kijdech and S. Vongbunyong, Using YuMi robot andRGB-D camera with YOLOv5 for pick-and-place application,International Journal of Robotics and Automation, 38(10),2023, 1–10.
  11. [11] J.J.Liu, Q. Hou, Z.A. Liu, and M.-M. Cheng, Poolnet+:Exploring the potential of pooling for salient object detection,IEEE Transactions on Pattern Analysis and MachineIntelligence, 45(1), 2022, 887–904.
  12. [12] H. Kusetogullari, A. Yavariabdi, J. Hall, and N. Lavesson,Digitnet: A deep handwritten digit detection and recognitionmethod using a new historical handwritten digit dataset, BigData Research, 23, 2021, 100182.
  13. [13] H. Tang, Z. Li, D. Zhang, S. He, and J. Tang, Divide-and-conquer: Confluent triple-flow network for RGB-T salient objectdetection, IEEE Transactions on Pattern Analysis and MachineIntelligence, 47(3), 2024, 1958–1974.
  14. [14] J. Lu, R. Yu, H. Zhang, D. Wu, R. Zhang, W. Ren, W. Han,and Y. Peng, Highly reflective metal industrial parts surfacedetection with polarization vision and modified YOLO, DigitalSignal Processing, 163, 2025, 105238.
  15. [15] H. Tang, C. Yuan, Z. Li, and J. Tang, Learning attention-guided pyramidal features for few-shot fine-grained recognition,Pattern Recognition, 130, 2022, 108792.11
  16. [16] Y. Zhang, H. Zhao, X. Li, H. Li, and J. Jin, MERS-Net: Alightweight and efficient remote sensing image object detector,IEEE Geoscience and Remote Sensing Letters, 22, 2025, 1–5.
  17. [17] H. Zhang, H. Tang, Y. Sun, S. He, and Z. Li, Modality-specificinteractive attack for vision-language pre-training models,IEEE Transactions on Information Forensics and Security, 20,2025, 5663–5677.
  18. [18] Z.A. Liu and J.J. Liu, Towards efficient salient object detectionvia U-shape architecture search, Knowledge-Based Systems,318, 2025, 113515.
  19. [19] S. Yan, H. Tang, L. Zhang, and J. Tang, Image-specificinformation suppression and implicit local alignment for text-based person search, IEEE Transactions on Neural Networksand Learning Systems, 35(12), 2023, 17973–17986.
  20. [20] S. Cai, X. Zhang, and Y. Mo, A lightweight underwater detectorenhanced by Attention mechanism, GSConv and WIoU onYOLOv8, Scientific Reports, 14(1), 2024, 25797.
  21. [21] N. Dong, L. Zhang, S. Yan, H. Tang, and J. Tang, Erasing,transforming, and noising defense network for occluded personre-identification, IEEE Transactions on Circuits and Systemsfor Video Technology, 34(6), 2023, 4458–4472.
  22. [22] V.V. Gohokar and V.N. Gohokar, Edge intelligence-basedobject detection and recognition system for embeddedIoMT applications, International Journal of Robotics andAutomation, 39(4), 2024, 250–257.
  23. [23] J.J. Liu, Z.A. Liu, P. Peng, and M.M. Cheng, Rethinking the U-shape structure for salient object detection, IEEE Transactionson Image Processing, 30, 2021, 9030–9042.
  24. [24] W. Li, L. Xiao, S. Yao, C. Hou, Z. Wen, and D. Ren, ED-YOLO:An object detection algorithm for drone imagery focusingon edge information and small object features, MultimediaSystems, 31(3), 2025, 1–15.
  25. [25] X. Lan, L. Liu, and X. Wang, Dal-yolo: A multi-target detectionmodel for UAV-based road maintenance integrating featurepyramid and attention mechanisms, Journal of Real-TimeImage Processing, 22(3), 2025, 105.
  26. [26] M.H. Guo, T.X. Xu, J.J. Liu, Z.N. Liu, P.T. Jiang, T.J. Mu,S.H. Zhang, R.R. Martin, M.M. Cheng, and S.M. Hu, Attentionmechanisms in computer vision: A survey, Computational visualmedia, 8(3), 2022, 331–368.
  27. [27] N. Bhavana, M. Kodabagi, B. Kumar, P. Ajay, N. Muthuku-maran, and A. Ahilan, POT-YOLO: Real-time road potholesdetection using edge segmentation based Yolo V8 network,IEEE Sensors Journal, 24(15), 2024, 24802–24809.
  28. [28] W. Pan, X. Sun, Y. Wang, Y. Cao, Y. Lang, and Y. Qian,Enhanced photovoltaic panel defect detection via adaptivecomplementary fusion in YOLO-ACF, Scientific Reports,14(1), 2024, 26425.
  29. [29] Z. Liu, Y. Liu, and Y. Fang, Diffusion model-based path followerfor a salamander-like robot, IEEE Transactions on NeuralNetworks and Learning Systems, 36(8), 2025, 14399–14413.
  30. [30] Y. Han, F. Wang, W. Wang, X. Zhang, and X. Li, EDN-YOLO:Multi-scale traffic sign detection method in complex scenes,Digital Signal Processing, 153, 2024, 104615.
  31. [31] S. Zhou, H. Zhou, and L. Qian, A multi-scale small objectdetection algorithm SMA-YOLO for UAV remote sensingimages, Scientific Reports, 15(1), 2025, 9255.
  32. [32] Y. Lei, X. Wang, A. An, and H. Guan, Deeplab-YOLO: Amethod for detecting hot-spot defects in infrared image PVpanels by combining segmentation and detection, Journal ofReal-Time Image Processing, 21(2), 2024, 52.
  33. [33] Z. Liu, Y. Zhang, J. He, T. Zhang, S. Rehman, and M. Saraee,Enhancing infrared small target detection: A saliency-guidedmulti-task learning approach, IEEE Transactions on IntelligentTransportation Systems, 26(3), 2025, 3603–3618.
  34. [34] Q. Zhang, W. Guo, and M. Lin, LLD-YOLO: A multi-modulenetwork for robust vehicle detection in low-light conditions,Signal, Image and Video Processing, 19(4), 2025, 1–11.
  35. [35] Y. Wang and X. Xiang, GMS-YOLO: An enhanced algorithmfor water meter reading recognition in complex environments,Journal of Real-Time Image Processing, 21(5), 2024, 173.
  36. [36] Y. Zhang, D. Ren, B. Chen, and J. Gu, Detection of pine wiltdisease in autumn based on remote sensing images and ENFmodule, International Journal of Robotics and Automation,38(3), 2023, 241–246.
  37. [37] B. Aydemir, Z. Telatar, S. G¨uney, and B. Dengiz, Detecting andclassifying breast masses via YOLO-based deep learning, NeuralComputing and Applications, 37(17), 2025, 11555–11582.
  38. [38] J. Mela and C. S´anchez, Yolo-based power-efficient objectdetection on edge devices for USVs, Journal of Real-TimeImage Processing, 22(3), 2025, 108.
  39. [39] G. Mao, K. Wang, H. Du, B. Huang, X. Ren, and T. Fu, SRS-YOLO: Improved YOLOv8-based smart road stud detection,IEEE Transactions on Intelligent Transportation Systems,26(7), 2025, 10092–10104.
  40. [40] B. Zhao, C. Wu, L. Chang, Y. Jiang, and R. Sun,Research on zero-force control and collision detection of deeplearning methods in collaborative robots, Displays, 87, 2025,102969.

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