Capture Car Plate Number

Correct Answers: B and D

AI Builder Business card reader is only one model available as a component for model-driven Power Apps apps.

To read the number on a car plate, you need to use the AI Builder Text Recognition model.

The Text recognition model extracts text from the images with printed or handwritten text.

You need to create a Canvas app that would take a car plate picture and use the AI Builder Text Recognition component to read the plate number.

Then, you can embed the Canvas app as a component in your model-driven app.

Option A is incorrect because the AI Builder Business card reader cannot extract a text from the images with printed or handwritten text.

Option E is incorrect because the Entity extraction model analyzes an email text, determines the text language, and extracts specific entities defined in a model.

The standard model includes 28 such entities, like email address, date-time, phone number, etc.

You can add other entities by training your model.

But the Entity extraction model does not extract text from the images with printed or handwritten text.

All other options are incorrect.

For more information about embedded canvas app on a model-driven form, please visit the below URLs:

To accomplish the requirement of reading the plate number from a photo and storing this information in the RentMe model-driven app, we can use the following components:

1. AI Builder Text Recognition: This component allows us to extract text from images using optical character recognition (OCR) technology. We can train the AI Builder Text Recognition model to recognize the format of the license plate number and extract it from the image of the car's plate taken by the customer. We can then use the output of the AI Builder Text Recognition action in Power Automate to update the record in the RentMe model-driven app with the license plate number.

2. Power Automate: This component allows us to automate workflows and connect different applications and services. We can use Power Automate to create a flow that triggers when a new record is created in the RentMe model-driven app. The flow can then call the AI Builder Text Recognition action to extract the license plate number from the image and update the corresponding record in the RentMe model-driven app.

Therefore, the correct answers are B. AI Builder Text Recognition and C. Power Automate. We do not need to use A. AI Builder Business card reader because we are not extracting information from a business card. D. Canvas app is not needed to accomplish this requirement as we are not building a custom user interface. E. AI Builder Entity Extraction is not the right choice for this requirement since it is used to extract entities such as names, dates, and addresses from text, but not to extract license plate numbers from images.