Method, device, system and computer-program product for setting lighting condition and storage medium

A method for setting a lighting condition when an object is checked, wherein, a check module implemented by a processor comprises a machine learning model is used to check the object, the machine learning model being generated by using learning data comprising images, the method is characterized by comprising:

• lighting the object by light sources capable of changing lighting parameters specifying the lighting condition when the object is captured, and capturing the object by an image sensor in a plurality of lighting parameters, so as to obtain a plurality of captured images corresponding to the plurality of lighting parameters, wherein, the object has corresponding label data;
• generating estimation images of the object when the object is lighted in variable lighting parameters, on the basis of image data sets obtained by associating the captured images and the lighting parameters corresponding to the captured images;
• and
• applying the estimation images corresponding to the variable lighting parameters to the machine learning model which has already performed learning, and setting the lighting condition according to optimization result with respect only to the lighting parameters on the basis of comparison result between estimation result of the machine learning model and the label data of the object.

A device for setting a lighting condition when an object is checked, wherein, the device is characterized by comprising:

• a processor, configured to implement an acquisition unit, a generation unit and a setting unit, wherein
• a check module implemented by the processor comprises a machine learning model is used to check the object, the machine learning model being generated by using learning data comprising images,
• the acquisition unit is configured for acquiring captured images regarding the object, wherein, the object being lighted by light sources capable of changing lighting parameters specifying the lighting condition when the object is captured, and the object being captured by an image sensor in a plurality of lighting parameters, so as to obtain the captured images corresponding to the plurality of lighting parameters, wherein, the object has known label data;
• the generation unit is configured for generating estimation images of the object when the object is lighted in variable lighting parameters, on the basis of image data sets obtained by associating the captured images and the lighting parameters corresponding to the captured images;
• and
• the setting unit is configured for applying the estimation images corresponding to the variable lighting parameters and the corresponding label data of the object to the learning of the machine learning model, and setting both the lighting condition and the check algorithm parameters of the machine learning model by simultaneously optimizing both the lighting parameters and the check algorithm parameters, on the basis of comparison result between estimation result of the machine learning model and the label data of the object.

A device for setting a lighting condition when an object is checked, the device is characterized by comprising:

• a processor, configured to implement an acquisition unit, a generation unit and a setting unit, wherein
• a check module implemented by the processor comprises a machine learning model is used to check the object, the machine learning model being generated by using learning data comprising images,
• the acquisition unit is configured for acquiring captured images regarding the object, wherein, the object being lighted by light sources capable of changing lighting parameters specifying the lighting condition when the object is captured, and the object being captured by an image sensor in a plurality of lighting parameters, so as to obtain the captured images corresponding to the plurality of lighting parameters, wherein, the object has corresponding label data;
• the generation unit is configured for generating estimation images of the object when the object is lighted in variable lighting parameters, on the basis of image data sets obtained by associating the captured images and the lighting parameters corresponding to the captured images;
• and
• the setting unit is configured for applying the estimation images corresponding to the variable lighting parameters to the machine learning model which has already performed learning, and setting the lighting condition according to optimization result with respect only to the lighting parameters on the basis of comparison result between estimation result of the machine learning model and the label data of the object.