Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Underground intelligent parking space system and method
The invention relates to the technical field of intelligent parking spaces, and discloses an underground intelligent parking space system and method, and the system comprises a parking space module which is used for parking a vehicle; the vehicle image acquisition module is used for monitoring a parking space and acquiring a vehicle image; the vehicle image data processing module is used for preprocessing the acquired vehicle image; the vehicle image data feature extraction module is used for carrying out feature extraction on vehicle window information on the processed vehicle image data; the vehicle window non-closing detection model training module is used for training a machine learning model by utilizing the marked data set; and the model detection prompt module inputs the preprocessed vehicle image into a machine learning model and judges whether the vehicle window is not closed or not. After the vehicle is parked on the parking space, under the action of the vehicle image acquisition module, the vehicle image is acquired, then the model is used for analyzing the image data, and when it is detected that the vehicle window is not closed, a vehicle owner is prompted to close the window in time through voice, so that the property loss is effectively avoided.
本申请请涉及智慧停车位技术领域，公开一种地下智慧停车位系统及方法，系统包括：停车位模块，用于车辆的停放；车辆图像采集模块，对停车位进行监控，获取车辆图像；车辆图像数据处理模块，对获取的车辆图像进行预处理；车辆图像数据特征提取模块，对处理后车辆图像数据进行关于车窗信息的特征提取；车窗未关检测模型训练模块，利用已标注的数据集，训练机器学习模型；模型检测提示模块，将预处理后车辆图像输入到机器学习模型中，判断车窗是否未关。本发明在车辆停到车位上后，在车辆图像采集模块的作用下，采集车辆图像，然后利用模型对图像数据进行分析，在检测到车窗未关闭时，会通过语音提示车主及时关窗，有效的避免了财产的损失。
Underground intelligent parking space system and method
The invention relates to the technical field of intelligent parking spaces, and discloses an underground intelligent parking space system and method, and the system comprises a parking space module which is used for parking a vehicle; the vehicle image acquisition module is used for monitoring a parking space and acquiring a vehicle image; the vehicle image data processing module is used for preprocessing the acquired vehicle image; the vehicle image data feature extraction module is used for carrying out feature extraction on vehicle window information on the processed vehicle image data; the vehicle window non-closing detection model training module is used for training a machine learning model by utilizing the marked data set; and the model detection prompt module inputs the preprocessed vehicle image into a machine learning model and judges whether the vehicle window is not closed or not. After the vehicle is parked on the parking space, under the action of the vehicle image acquisition module, the vehicle image is acquired, then the model is used for analyzing the image data, and when it is detected that the vehicle window is not closed, a vehicle owner is prompted to close the window in time through voice, so that the property loss is effectively avoided.
本申请请涉及智慧停车位技术领域，公开一种地下智慧停车位系统及方法，系统包括：停车位模块，用于车辆的停放；车辆图像采集模块，对停车位进行监控，获取车辆图像；车辆图像数据处理模块，对获取的车辆图像进行预处理；车辆图像数据特征提取模块，对处理后车辆图像数据进行关于车窗信息的特征提取；车窗未关检测模型训练模块，利用已标注的数据集，训练机器学习模型；模型检测提示模块，将预处理后车辆图像输入到机器学习模型中，判断车窗是否未关。本发明在车辆停到车位上后，在车辆图像采集模块的作用下，采集车辆图像，然后利用模型对图像数据进行分析，在检测到车窗未关闭时，会通过语音提示车主及时关窗，有效的避免了财产的损失。
Underground intelligent parking space system and method
一种地下智慧停车位系统及方法
MA WENQIANG (Autor:in)
12.03.2024
Patent
Elektronische Ressource
Chinesisch
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