4results about How to "Uniform light distribution" patented technology

The utility model relates to display equipment technical field especially LED packaging structure and display device, LED packaging structure includes wiring layer, with the LED chip of wiring layer electricity connection, the filling layer that sets up around LED chip, set up in the sapphire layer that LED chip far away from wiring layer one side and LED chip are pasted, LED packaging structure still includes the fluorescent layer that sets up around filling layer and sapphire layer, fluorescent layer sets up around filling layer and sapphire layer, realizes spectrum conversion, when the blue light that LED chip emits irradiates on fluorescent layer, fluorescent layer absorbs part blue light and emits other color light, and the white light that mixes with blue light is obtained to realize MIP white light product, make the light that emits from LED packaging structure more uniform, improve illumination quality and visual comfort.

This invention discloses a novel foldable backlight system suitable for head-up display (HUD) systems, comprising: a lamp panel assembly; a collimating lens for collimating white light emitted from LED beads; a spherical reflector for reflecting and shaping the collimated light; a beam expander for diffusing and homogenizing transmitted light; and an S-polarizing filter for filtering P-polarized light within the backlight. The light path is as follows: white light emitted from the lamp panel assembly passes through the collimating lens, is projected onto the spherical reflector, reflected by the beam expander, transmitted through the S-polarizing filter, and finally illuminates a 4.1-inch TFT screen. This invention also discloses a motor vehicle incorporating the above-described novel foldable backlight system, and a backlight display method. The HUD backlight system of this invention has the advantages of reducing surface heat of the TFT screen and minimizing the size of the PGU (Power Gear Unit).

The present application belongs to the technical field of image processing, and in particular to a multi-scale attention weak light image enhancement method and system. The present application comprises the following steps: step 1, constructing a network model: constructing a multi-scale attention weak light image enhancement network model, which comprises a decomposition network, a reflection image restoration network, and an illumination image enhancement network; step 2, preparing a data set: using the LOL-v1 data set to divide the training set and the test set and to perform preprocessing; using the LOL-v2 data set to fine-tune the model; step 3, training the network model: inputting the LOL-v1 data into the network for training until the preset training number or the loss function reaches the standard step; step 4, fine-tuning the model: using the second weak light image data set to further train and fine-tune the network model; and step 5, saving the model: solidifying and saving the final model parameters to realize the conversion output of weak light images into high-quality images. The present application designs an efficient multi-scale attention enhancement network for improving the performance of image features. This method can significantly improve the quality and clarity of the image, making the illumination and reflection details more distinct.

The present application relates to remote real-name authentication technical field, specifically to a kind of remote real-name authentication method and system based on image recognition, comprising: receiving user uploaded real-time live face image and identity card chip photo.The real-time live face image is detected by micro-expression texture analysis and light reflection feature extraction, and the facial texture feature is extracted to form live feature descriptor;Certificate chip photo is subjected to moire filter, light equalization processing and perspective distortion correction, to generate standardized certificate face image.Both are input into double-branch feature comparison network coding, to calculate the cosine similarity of feature vector, and the result is output by authentication decision engine in combination with the live detection result.The present application can avoid the risk of fake face fraud, reduce the comparison deviation, and improve the authentication security and accuracy.