A single shot multibox detector based on welding operation method for biometrics recognition in smart cities
| Autor: | Changfan Li, Hongzhi Lu, Zijie Jiang, Weiming Chen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Biometrics
Computer science Shielded metal arc welding chemistry.chemical_element 02 engineering and technology Welding Tungsten 01 natural sciences Automotive engineering Gas metal arc welding law.invention Artificial Intelligence law 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 010306 general physics Inert gas Personal protective equipment Gas tungsten arc welding Detector Object detection chemistry Feature (computer vision) Signal Processing 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Software |
| Zdroj: | Pattern Recognition Letters. 140:295-302 |
| ISSN: | 0167-8655 |
| DOI: | 10.1016/j.patrec.2020.10.016 |
| Popis: | As enhance of safety requirement in the smart cities, biometrics recognition, as an approach for society safety, has been greatly researched and developed. The identification of working status of welders will help judge whether they are wearing personal protective equipment correctly. We proposed an improved algorithm based on SSD (Single Shot Multibox Detector) that can identify three mainstream manual welding methods including SMAW (shielded metal arc welding), GMAW (gas metal arc welding) and TIG (tungsten inert gas), which has never been researched before and can promote the intelligentization of welding monitoring to construct smart cities. The improvement includes two parts. Firstly, the backbone of SSD is replaced with MobileNetV3. Then, a feature fusion module is added to enhance the information of low-level feature maps to improve detection accuracy. The experimental results of our welding behavior detector show that, the mAP is 87.45%, detection speed is 25FPS, and parameter memory is 87.5 MB, which has a relatively excellent performance considering speed, accuracy and memory. |
| Databáze: | OpenAIRE |
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