Hi Keisha,

While not a native feature, you can do this as an integration with a 3rd party AI service like Amazon Rekognition (Azure AI Vision Image Analysis is another). You would use Laserfiche's HTTP web request integration capability to send the image to the image recognition API and then receive the output of identified objects/topics/people/etc. (broadly called "labels" or "features").

Once you have the output, you can have a Laserfiche Workflow automatically assign the identified labels to the photo entry as metadata fields, which users can view and search.

Here is an example API response from AWS Rekognition about detecting a mobile phone in an image:

"Labels": [
        {
            "Name": "Mobile Phone",
            "Confidence": 99.99717712402344,
            "Instances": [],
            "Parents": [
                { 
                "Name": "Phone" 
                }
             ],
            "Aliases": [
                {
                "Name": "Cell Phone" 
                }
             ]
        }
 ]    
            

You can have Laserfiche Workflow read that response, then assign some or all of "Phone", "Mobile Phone", and "Cell Phone" to the image entry metadata in the Laserfiche repository.

Hope that helps. If you have more specific details on the use case, we may be able to provide more information.