Construction of Multi-scale Target Detection Model for Security Signage Recognition
- Resource Type
- Conference
- Authors
- Yu, Xiaoyong; Qin, Liwen; Chen, Xin; Wu, Lifang; Zhang, Biyun
- Source
- 2023 4th International Conference on Computer Engineering and Intelligent Control (ICCEIC) Computer Engineering and Intelligent Control (ICCEIC), 2023 4th International Conference on. :149-153 Oct, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
YOLO
Target recognition
Image edge detection
Computational modeling
Real-time systems
Public security
Hazards
Target Detection
Safety Signage
YOLOv5
Edge Computing
- Language
This study proposes a method for constructing a multi-scale target detection model specifically for power public safety signage. The article designs a multi-scale target detection network based on the YOLOv5 object detection model to meet the needs of multi-scale transformation and small target detection for safety signage. In addition, the article presents a quantitative perception training method of neural network graph optimization and network quantization, which is used to deploy the model at the edge and improve the inference speed. Experimental results show that this model exhibits high recognition accuracy and fast inference speed on edge devices, making it suitable for real-time safety signage recognition.