Dynamic device configuration
A method includes receiving, by a computing device, device information for a user device and user environment devices; sending, by the computing device, image templates to the user device using the device information; adjusting, by the computing device, device settings on the user device and the user environment devices in response to a selection of an image template of the image templates; receiving, by the computing device, an image from the user device; comparing, by the computing device, the image to a target image; determining, by the computing device, the image is acceptable; and in response to determining the image is acceptable, sending, by the computing device, the acceptable image to a third party.
1. A method, comprising:
receiving, by a computing device, device information for a user device and user environment devices;
sending, by the computing device, image templates to the user device using the device information;
adjusting, by the computing device, device settings on the user device and the user environment devices in response to a selection of an image template of the image templates;
receiving, by the computing device, an image from the user device;
comparing, by the computing device, the image to a target image;
determining, by the computing device, the image is acceptable; and
in response to determining the image is acceptable, sending, by the computing device, the acceptable image to a third party.
2. The method of claim 1 , further comprising receiving permission from the user device to access camera settings of a camera of the user device, a text to speech functionality of the user device, and a haptic feedback gyroscope of the user device in the adjusting the device settings on the user device.
3. The method of claim 1 , further comprising adjusting the device settings on the user environment devices by adjusting a brightness of the user environment devices.
4. The method of claim 1 , wherein the comparing the image to the target image includes comparing pixels within the image to pixels within the target image.
5. The method of claim 1 , wherein the determining the image is acceptable includes determining a number of the pixels within the image matches a threshold number of pixels within the target image.
6. The method of claim 1 , wherein the image is for an image context selected from the group consisting of a medical image context, a legal image context, and a leisure image context.
7. The method of claim 6 , further comprising, in response to the leisure image context, providing a user of the user device with explanations for the device settings.
8. The method of claim 1 , further comprising training a machine learning model with the acceptable image.
9. The method of claim 1 , wherein the adjusting the device settings on the user device and the user environment devices includes providing guidance to a user of the user device to adjust the device settings manually on the user device and the user environment devices.
10. The method of claim 9 , wherein the providing guidance to the user includes providing haptics on the user device, sending an audio message to the user device, sending a text to speech message to the user device, and sending a text message to the user device.
11. The method of claim 1 , wherein the image template includes device settings for the target image.
12. The method of claim 1 , wherein the computing device includes software provided as a service in a cloud environment.
13. A computer program product comprising one or more computer readable storage media having program instructions collectively stored on the one or more computer readable storage media, the program instructions executable to:
receive device information from a user device and from user environment devices;
send image templates to the user device using the device information;
adjust device settings on the user device and the user environment devices in response to a selection of an image template of the image templates;
receive an image from the user device;
compare the image to a target image;
determine the image is not acceptable; and
in response to determining the image is not acceptable, send a notification message to the user device.
14. The computer program product of claim 13 , wherein the adjusting the device settings on the user device includes accessing a virtual assistant of the user device.
15. The computer program product of claim 13 , wherein the program instructions are executable to train a machine learning model with training images.
16. The computer program product of claim 13 , wherein the comparing the image to the target image includes comparing pixels within the image to pixels within the target image.
17. A system comprising:
a processor, a computer readable memory, one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable to:
generate image templates using a machine learning model;
send the image templates to a user device in response to receiving device information of the user device;
adjust device settings on the user device in response to a selection of an image template of the image templates;
receive an image from the user device;
compare the image to a target image;
determine the image is acceptable;
send the acceptable image to a third party; and
train the machine learning model with the acceptable image.
18. The system of claim 17 , wherein the adjusting the device settings includes adjusting camera modes, resolutions, filters, a contrast, a brightness, and a lighting of a camera of the user device.
19. The system of claim 17 , wherein the device information includes a make and a model of the user device and an operating software of the user device.
20. The system of claim 17 , wherein the determining the images are acceptable includes determining a number of the pixels within the image matches a threshold number of pixels within the target image.