Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Municipal Research Institute of Environmental Protection

Beijing Municipal Research Institute of Eco-Environmental Protection

Beijing Vehicle Emissions Management Center

Lei Nie

Jianfa Zou

Feng Huang

Jiangliang Guo

Huihui Xiao

Wanqing He

Aijun Shi

Shuo Li

Xu Liang Li

Minghao Liu

Tianyi Wang

Leyi Wang

Siyu An

Zhen Yao

Ye Su

Xiangkai Huang

Luyan Chen

Xuepeng Zhao

Zhiping Wang

Yabo Liu

A product recognition method and device, a model training method and device, and an electronic device are provided. The product recognition method includes: obtaining image data of a product; performing defect recognition on the image data based on a first recognition model, to obtain a first recognition result, wherein the first recognition model is configured to recognize a defective product; performing qualification recognition on the image data based on a second recognition model to obtain a second recognition result, wherein the second recognition model is configured to recognize a qualified product; determining a target recognition result of the product based on the first recognition result and the second recognition result.

Product recognition method, model training method, device and electronic device

The integrated device for adsorptive purification and catalytic regeneration of VOCs is provided and includes a filtration adsorption coupling filter, a catalytic combustion regeneration box and a housing, where the housing includes a filter inner cavity and a combustion inner cavity that are communicated in sequence. The VOC exhaust gas is adsorbed and filtered by the filtration adsorption coupling filter. Moreover, under an operating condition of desorption regeneration, the catalytic combustion regeneration box is utilized to perform thermal desorption and regeneration on the filtration adsorption coupling filter, and catalytically combust and purify the VOC exhaust gas obtained by thermal desorption.

Integrated device for adsorptive purification and catalytic regeneration of volatile organic compounds

Provided are an image defect detection method and apparatus, an electronic device, a storage medium and a product. The method includes acquiring a to-be-detected image; obtaining a restored image corresponding to the to-be-detected image based on the to-be-detected image, at least one mask image group and a plurality of defect-free positive sample images, where each mask image group includes at least two binary images having a complementary relationship, and different mask image groups have different image sizes; and locating a defect of the to-be-detected image based on the to-be-detected image and each restored image. The solution solves the problem in which a related defect detection method requires numerous manual operations and has a low detection accuracy due to subjective factors of a worker.

Image defect detection method for locating a defect of a to-be detected image, electronic device, and storage medium

A filter element for coupling adsorption and regeneration of volatile organic compounds and a purification device are provided. The filter element includes a filter element body, a photocatalytic mechanism and adsorption-filtration body(s). The adsorption-filtration body(s) may be of a hollow columnar structure where the photocatalytic mechanism is located. VOCs are quickly adsorbed by the adsorption-filtration body(s), then thermal desorption regeneration is performed on the adsorption-filtration body(s) during a time interval of stopping discharging of the exhaust gas, and a photocatalysis technology is used to cyclically purify the thermally desorbed VOCs, which achieves the synergy of high-density and purification in the two technologies. Furthermore, it takes full advantages of high adsorption, filtration and purification efficiency, low photolysis catalysis costs, and easy operation and maintenance of the on-site regeneration.

Filter element for coupling adsorption and regeneration of volatile organic compounds and purification device

The present application discloses a method for image text recognition, an apparatus, a device, and a storage medium, and relates to image processing technologies in the field of cloud computing. A specific implementation is: acquiring an image to be processed, where at least one text line exists in the image to be processed; processing each text line in the image to be processed to obtain a composite encoded vector corresponding to each word in each text line, where the composite encoded vector carries semantic information and position information; and determining a text recognition result of the image to be processed according to the semantic information and the position information carried in the composite encoded vector corresponding to each word in each text line. This technical solution can accurately distinguish adjacent fields with small pixel spacing in the image and improve the accuracy of text recognition in the image.

Method for image text recognition, apparatus, device and storage medium

The present application discloses a method and apparatus for digitizing paper data, an electronic device and a storage medium, relating to fields of image processing and cloud computing, in particular to image recognition technologies. The method includes: determining a standard template according to an image to be processed and mark information corresponding to the image to be processed, wherein the image to be processed is obtained by photographing paper data and the standard template is used to represent a reference coordinate system of the image to be processed; recognizing graphic handwriting information comprised in the image to be processed; and generating digitized data corresponding to the image to be processed according to the graphic handwriting information and the standard template.

Method and apparatus for digitizing paper data, electronic device and storage medium

A product defect detection method and apparatus, an electronic device, and a storage medium are provided. A method includes: acquiring a multi-channel image of a target product; inputting the multi-channel image to a defect detection model, wherein the defect detection model includes a plurality of convolutional branches, a merging module and a convolutional headbranch; performing feature extraction on each channel in the multi-channel image by using the plurality of convolutional branches, to obtain a plurality of first characteristic information; merging the plurality of first characteristic information by using the merging module, to obtain second characteristic information; performing feature extraction on the second characteristic information by using the convolutional headbranch, to obtain third characteristic information to be output by the defect detection model; and determining defect information of the target product based on the third characteristic information.

Product defect detection method and apparatus, electronic device and storage medium

Embodiments of the present disclosure provide a method and apparatus for predicting a severe convection weather. The method may include: acquiring a current radar echo map sequence, the current radar echo map sequence being a radar echo map sequence within a current time period; generating, based on the current radar echo map sequence, a future radar echo map sequence, the future radar echo map sequence being a radar echo map sequence within a future time period; and inputting the future radar echo map sequence into a pre-trained severe convection weather predicting model to obtain a severe convection weather intensity predicting map, where the severe convection weather predicting model is used to predict the intensity of a severe convection weather.

Method and apparatus for predicting severe convection weather

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Beijing, China

Lei Nie