Video Annotation for Consumable Preparation

A processing system acts as an intermediary between the preparation area and user devices. The processing system captures video feed, identifies items using computer vision, retrieves annotation content from databases, and delivers personalized information to user devices. This mediator approach allows complex processing to be centralized while keeping individual user devices relatively simple.

The system creates digital copies of preparation information by capturing video of the preparation area and generating annotated video feeds. These video copies are then enriched with additional annotation content (such as ingredient sourcing, preparation techniques, and chef information) before being transmitted to user devices, allowing users to view information without directly accessing the complex processing infrastructure.

Annotation content is retrieved from databases in advance based on predicted preparation activities, and item identification models are pre-trained and loaded into memory. The system prepares annotation data before it is strictly needed by anticipating what information will be required based on the menu item being prepared, reducing real-time processing delays.

The system processes and transmits only the most relevant annotation content for each specific preparation scene rather than all available information. Computer vision models identify key items and selectively retrieve annotation content for those items, avoiding the computational overhead of processing and transmitting complete datasets for every frame.