Intelligent Detection of Dangerous Goods in Security Inspection Based on Cascade Cross Stage YOLOv3 Model
At present, it mainly depends on the human eye to identify the X-ray scanning image, when the security detector is used to detect the dangerous goods in the baggage. It is labor intensive and prone to false or missed detection. This paper proposes an intelligent detection method of dangerous goods i...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2022-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/398881 |