A Method for Target Detection Based on Synthetic Samples of Digital Twins
Author:
Affiliation:
1. School of Electrical and Control Engineering, North China University of Technology, Beijing, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10526242.pdf?arnumber=10526242
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1. Automated industrial crack inspection system based on edge-edge collaboration of multiple cameras and programmable logic controller
2. Research on intelligent manufacturing equipment visual inspection control based on machine vision
3. Object detection and robotic sorting system in complex industrial environment
4. Improved the Detection Algorithm of Steel Surface Defects Based on YOLOv7
5. Real-Time Robotic Grasping and Localization Using Deep Learning-Based Object Detection Technique
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