A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Garbage classification and pickup robot based on deep learning
The invention provides a garbage classification and pickup robot based on deep learning. The garbage classification and pickup robot based on deep learning comprises a moving base, a control chamber,a mechanical arm, a camera and a garbage can, and the camera comprises a navigation camera used for controlling the moving direction of the moving base and a classification camera used for garbage classification and pickup. The navigation camera and the classification camera are both in communication connection with the control chamber, the mechanical arm is in communication connection with the control chamber, and the movable base is in communication connection with the control chamber. And the control chamber comprises a deep learning neural network used for carrying out deep learning on picture information obtained by the navigation camera and the classification camera, and a hand-eye calibration control system used for controlling the mechanical arm to work. The household garbage is classified and stored from the production source, resources can be more fully utilized, and secondary pollution is effectively avoided.
本发明提供了一种的基于深度学习的垃圾分类与拾取机器人。所述的基于深度学习的垃圾分类与拾取机器人包括移动底座、控制室、机械臂、摄像头及垃圾箱，所述摄像头包括用于控制所述移动底座运动方向的导航摄像头，及用于垃圾分类与拾取的分类摄像头，所述导航摄像头及所述分类摄像头均与所述控制室通信连接，所述机械臂与所述控制室通信连接，所述移动底座与所述控制室通信连接，所述控制室包括用于对所述导航摄像头及所述分类摄像头获取的图片信息进行深度学习的深度学习神经网络，以及控制机械臂工作的手眼标定控制系统。本发明从生产源头上对生活垃圾进行分类存放，能更充分利用资源并有效避免二次污染。
Garbage classification and pickup robot based on deep learning
The invention provides a garbage classification and pickup robot based on deep learning. The garbage classification and pickup robot based on deep learning comprises a moving base, a control chamber,a mechanical arm, a camera and a garbage can, and the camera comprises a navigation camera used for controlling the moving direction of the moving base and a classification camera used for garbage classification and pickup. The navigation camera and the classification camera are both in communication connection with the control chamber, the mechanical arm is in communication connection with the control chamber, and the movable base is in communication connection with the control chamber. And the control chamber comprises a deep learning neural network used for carrying out deep learning on picture information obtained by the navigation camera and the classification camera, and a hand-eye calibration control system used for controlling the mechanical arm to work. The household garbage is classified and stored from the production source, resources can be more fully utilized, and secondary pollution is effectively avoided.
本发明提供了一种的基于深度学习的垃圾分类与拾取机器人。所述的基于深度学习的垃圾分类与拾取机器人包括移动底座、控制室、机械臂、摄像头及垃圾箱，所述摄像头包括用于控制所述移动底座运动方向的导航摄像头，及用于垃圾分类与拾取的分类摄像头，所述导航摄像头及所述分类摄像头均与所述控制室通信连接，所述机械臂与所述控制室通信连接，所述移动底座与所述控制室通信连接，所述控制室包括用于对所述导航摄像头及所述分类摄像头获取的图片信息进行深度学习的深度学习神经网络，以及控制机械臂工作的手眼标定控制系统。本发明从生产源头上对生活垃圾进行分类存放，能更充分利用资源并有效避免二次污染。
Garbage classification and pickup robot based on deep learning
一种基于深度学习的垃圾分类与拾取机器人
WANG YAONAN (author) / CAI WEI (author) / MIAO ZHIQIANG (author) / QI KEXIN (author) / ZHANG LAN (author) / FENG JIA (author)
2020-12-29
Patent
Electronic Resource
Chinese
IPC:
G06K
Erkennen von Daten
,
RECOGNITION OF DATA
/
E01H
STREET CLEANING
,
Reinigen von Straßen
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
/
G06T
Bilddatenverarbeitung oder Bilddatenerzeugung allgemein
,
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
/
H04N
PICTORIAL COMMUNICATION, e.g. TELEVISION
,
Bildübertragung, z.B. Fernsehen
Garbage pickup trolley based on residual semantic enhanced deep neural network
| European Patent Office | 2024