Infrared heat map defect target detection based on Yolov5

Jiahao Liu; Zhi Zeng

doi:10.1117/12.3000700

29 December 2023 Infrared heat map defect target detection based on Yolov5

Jiahao Liu, Zhi Zeng

Proceedings Volume 12976, Eighth Asia Pacific Conference on Optics Manufacture and Third International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2023); 1297608 (2023) https://doi.org/10.1117/12.3000700
Event: 8th Asia Pacific Conference on Optics Manufacture & 3rd International Forum of Young Scientists on Advanced Optical Manufacturing, 2023, Shenzhen, China

Abstract

At present, the object detection algorithm based on deep learning has gradually replaced the traditional object detection algorithm and become the main research algorithm in object detection and other tasks. For target detection under infrared conditions, the characteristics of infrared heat map will affect the ability of target detection and extraction, resulting in the impact of detection accuracy and speed. In order to solve the problem of low detection accuracy of YOLOv5 in industrial infrared scenes, this paper improved its network model structure, added NAM attention mechanism, and improved the feature pyramid network in the model. In this paper, all experimental results are summarized: the improved YOLOv5 network model not only has better detection accuracy but also improves detection speed, which can better meet the requirements of infrared heat map defect target detection.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiahao Liu and Zhi Zeng "Infrared heat map defect target detection based on Yolov5", Proc. SPIE 12976, Eighth Asia Pacific Conference on Optics Manufacture and Third International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2023), 1297608 (29 December 2023); https://doi.org/10.1117/12.3000700

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KEYWORDS

Infrared radiation

Thermography

Infrared detectors

Target detection

Infrared imaging

Thermal modeling

Education and training

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