Automated image measurement for process development and optimization
A method includes providing attributes of a manufacturing process and an image of a product associated with the manufacturing process to a trained machine learning model. The method further includes obtaining, from the trained machine learning model, predictive data. The method further includes determining, based on the predictive data, image measurements of the image of the product associated with the manufacturing process. Manufacturing parameters of the manufacturing process are to be updated based on the image measurements.
1. A method comprising:
providing attributes of a manufacturing process and an image of a product associated with the manufacturing process to a trained machine learning model;
obtaining, from the trained machine learning model, predictive data; and
determining, based on the predictive data, image measurements of the image of the product associated with the manufacturing process, wherein manufacturing parameters of the manufacturing process are to be updated based on the image measurements.
2. The method of claim 1 further comprising:
determining that the image is associated with the manufacturing parameters of the manufacturing process;
determining historical image measurements of historical images associated with historical manufacturing parameters are closer to target dimensions than the image measurements; and
determining updates to the manufacturing parameters based on the historical manufacturing parameters.
3. The method of claim 2 further comprising causing the updates to the manufacturing parameters to be displayed via a graphical user interface.
4. The method of claim 2 further comprising causing the updates to the manufacturing parameters to be implemented by manufacturing equipment.
5. The method of claim 2 further comprising causing operation of manufacturing equipment to be interrupted to implement the updates to the manufacturing parameters.
6. The method of claim 1 , wherein the manufacturing parameters comprise a process parameter.
7. The method of claim 1 , wherein the manufacturing parameters comprise a hardware parameter.
8. A system comprising:
a memory; and
a processing device, coupled to the memory, to:
provide attributes of a manufacturing process and an image of a product associated with the manufacturing process to a trained machine learning model;
obtain, from the trained machine learning model, predictive data; and
determine, based on the predictive data, image measurements of the image of the product associated with the manufacturing process, wherein manufacturing parameters of the manufacturing process are to be updated based on the image measurements.
9. The system of claim 8 , wherein the processing device is further to:
determine that the image is associated with the manufacturing parameters of the manufacturing process;
determine historical image measurements of historical images associated with historical manufacturing parameters are closer to target dimensions than the image measurements; and
determine updates to the manufacturing parameters based on the historical manufacturing parameters.
10. The system of claim 9 , wherein the processing device is further to cause the updates to the manufacturing parameters to be displayed via a graphical user interface.
11. The system of claim 9 , wherein the processing device is further to cause the updates to the manufacturing parameters to be implemented by manufacturing equipment.
12. The system of claim 9 , wherein the processing device is further to cause operation of manufacturing equipment to be interrupted to implement the updates to the manufacturing parameters.
13. The system of claim 8 , wherein the manufacturing parameters comprise a process parameter.
14. The system of claim 8 , wherein the manufacturing parameters comprise a hardware parameter.
15. A non-transitory computer readable medium having instructions stored thereon, which, when executed by a processing device, cause the processing device to perform operations comprising:
providing attributes of a manufacturing process and an image of a product associated with the manufacturing process to a trained machine learning model;
obtaining, from the trained machine learning model, predictive data; and
determining, based on the predictive data, image measurements of the image of the product associated with the manufacturing process, wherein manufacturing parameters of the manufacturing process are to be updated based on the image measurements.
16. The non-transitory computer readable medium of claim 15 , wherein the operations further comprise:
determining that the image is associated with the manufacturing parameters of the manufacturing process;
determining historical image measurements of historical images associated with historical manufacturing parameters are closer to target dimensions than the image measurements; and
determining updates to the manufacturing parameters based on the historical manufacturing parameters.
17. The non-transitory computer readable medium of claim 16 , wherein the operations further comprise causing the updates to the manufacturing parameters to be displayed via a graphical user interface.
18. The non-transitory computer readable medium of claim 16 , wherein the operations further comprise causing the updates to the manufacturing parameters to be implemented by manufacturing equipment.
19. The non-transitory computer readable medium of claim 16 , wherein the operations further comprise causing operation of manufacturing equipment to be interrupted to implement the updates to the manufacturing parameters.
20. The non-transitory computer readable medium of claim 15 , wherein the manufacturing parameters comprise one or more of a process parameter or a hardware parameter.