Item monitoring for doorbell cameras

A system comprising:

• a processing device;
• and
• a non-transitory machine-readable storage device storing instructions that are executable by the processing device to cause performance of operations comprising:
• accessing a video stream comprising:
• a pre-event image generated before a first activity, and
• a post-event image generated after detection of the first activity;
• processing the pre-event and post-event image by providing the pre-event and post-event image as an input to a machine-learning (ML) model trained for package detection based on statistical subtraction of image pixel data across a plurality of images that include images captured before a training activity and after the training activity;
• detecting that a candidate item was placed at a property using the output of the processing of the pre-event and the post-event image by the ML model;
• in response to detecting that the candidate item was placed at the property, generating, using the ML model, an image bounding box that outlines the candidate item as an overlay in the post-event;
• and
• determining that the candidate item is likely a package delivered to the property based on analysis of image pixel data of the candidate item within the image bounding box overlaid on the post-event.

One or more non-transitory machine-readable storage devices storing instructions that are executable by one or more processing devices to cause performance of operations comprising:

• accessing a video stream comprising:
• a pre-event image generated before a first activity, and
• a post-event image generated after detection of the first activity;
• processing each of the pre-event and post-event image by providing the pre-event and post-event as an input to a machine-learning (ML) model trained for package detection based on statistical subtraction of image pixel data across a plurality of images that include images captured before a training activity and after the training activity;
• detecting that a candidate item was placed at a property using the output of the processing of the pre-event and the post-event image by using the ML model;
• in response to detecting that the candidate item was placed at the property, generating, using the ML model, an image bounding box that outlines the candidate item as an overlay in the post-event image;
• and
• determining that the candidate item is likely a package delivered to the property based on analysis of image pixel data of the candidate item within the image bounding box overlaid on the post-event image.