Household Appliance Video Analysis for Inventory Motion Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Videos captured by household appliances often include background information that is not pertinent to inventory identification or tracking, increasing processing time and complexity.
Innovation Solution
A method of analyzing videos by calculating median frames, determining areas containing objects of interest, isolating these areas for analysis, and using motion vectors to update a virtual inventory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If background information is included in video analysis, then complete video content is analyzed, but processing time and complexity increase
Solution Approach 1:
The patent extracts and removes background information from video frames before analysis. By calculating median frames and frame differences, the system isolates only the dynamic objects of interest (food items being added or removed) from the static background, thereby reducing processing time while maintaining identification accuracy.
Solution Approach 2:
The patent segments the video analysis process into distinct stages: capturing video frames, calculating median frames to represent background, computing frame differences to identify changes, and isolating objects of interest. This segmentation allows efficient processing by analyzing only relevant portions of the video.
2Measurement precision
If background information is included in video analysis, then complete video content is analyzed, but processing complexity increases
Solution Approach 1:
The patent extracts and removes background information from video frames before analysis. By calculating median frames and frame differences, the system isolates only the dynamic objects of interest (food items being added or removed) from the static background, thereby reducing processing time while maintaining identification accuracy.
Solution Approach 2:
The patent performs preliminary processing by calculating median frames and frame differences before actual object analysis. This preliminary action pre-processes the video data to highlight only the relevant changes, simplifying the subsequent analysis steps and reducing overall system complexity.
3Reliability
If all video frames are analyzed, then complete object tracking is achieved, but processing efficiency decreases
Solution Approach 1:
The patent extracts and removes background information from video frames before analysis. By calculating median frames and frame differences, the system isolates only the dynamic objects of interest (food items being added or removed) from the static background, thereby reducing processing time while maintaining identification accuracy.
Solution Approach 2:
The patent focuses analysis on dynamic changes in the video frames rather than static content. By computing frame differences from median frames, the system identifies only the dynamic objects of interest (food items being added or removed), improving analysis speed while maintaining reliable inventory tracking through motion vector analysis.
Data Source
AI summary
A video captured by a camera assembly of a household appliance includes a plurality of frames. Methods of analyzing the video may include calculating a plurality of median frames of the video, determining an area of one of the plurality of frames contains an object of interest, and isolating the determined area for analysis of the object of interest. Methods of analyzing the video may include identifying an object of interest in a minimum number of consecutive frames of the video, determining a motion vector of the object of interest based on the consecutive frames of the video, and comparing the motion vector with predetermined in and out vectors to determine whether the object of interest was added to or removed from the household appliance. Such methods may also include adding or removing the object of interest to or from a virtual inventory of the household appliance.