Ligament
发表于 2025-3-26 20:57:01
Technische Basisdiagnostik und Monitoringents a food production date inkjet defect detection system based on deep learning. The system can quickly and accurately judge whether there are defects such as missing printing and missing printing on the production date inkjet code on the food package, and eliminate the problem food in time. The e
ADORN
发表于 2025-3-27 02:21:24
Technische Basisdiagnostik und Monitoringetwork parameters, complex model structure, and low boundary regression accuracy for the target. For the above problems, this study improves on the YOLOv5s algorithm and proposes a new model YOLO-GC with lower hardware requirements, fewer network parameters and higher boundary regression accuracy. F
Demulcent
发表于 2025-3-27 05:30:33
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fructose
发表于 2025-3-27 09:50:43
Erkrankungen des respiratorischen Systemescomparable advantages over single robots. This paper first designs the multi-robot formation control model, and chooses the wheeled robot formation control strategy based on leader-follower. According to the coordinate position and relative distance information, the robots are led by the leader and
chemical-peel
发表于 2025-3-27 13:59:39
Gabe von Medikamenten und Infusionenugh the transformation relationship of the coordinate system, a mathematical model with eye-to-hand is established. A hand-eye system based on the INNFOS robotic arm and the intel D455 camera is built. Based on the ROS platform, the generation of the Moveit function package and the camera calibratio
致敬
发表于 2025-3-27 19:21:50
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Polydipsia
发表于 2025-3-27 22:37:16
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Dorsal
发表于 2025-3-28 03:29:25
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biopsy
发表于 2025-3-28 08:21:25
Bildatlas Notfall- und Rettungsmedizint also has the problem of insufficient real-time and accuracy. Therefore, the inspection efficiency and accuracy of subway machine room are improved by using inspection robot and embedded system inspection software written in Python language. Firstly, the image is pre-processed, and then the contour
PAC
发表于 2025-3-28 11:41:43
Erkrankungen des respiratorischen Systemest home system on the market. Designed a Raspberry Pi as the main control platform, using voice interaction, face recognition, gesture recognition, posture recognition, APP mobile terminal and other multi-operation methods to control home equipment, built on the MQTT protocol a light, self-contained