Context-Aware Action Filtering for Retail Video Object Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Retail information processing systems face challenges in efficiently providing relevant actions to administrators for recognized objects in video feeds, as existing systems often present unnecessary actions that are not context-specific, leading to confusion and inefficiency in data collection and management.
Innovation Solution
A system that recognizes objects in a retail environment and provides context-specific actions to administrators, using a processor circuit to analyze video data, determine object contexts, and limit displayed actions to only those relevant to the recognized object, with optional AI-driven evolution of action sets based on data and environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all possible actions are presented to administrators regardless of context, then administrators have comprehensive options, but administrators experience confusion and inefficiency due to irrelevant actions
Solution Approach 1:
The system applies local quality by customizing the set of presented actions based on the specific context of each recognized object. Instead of presenting a uniform set of all possible actions to all administrators, the system dynamically filters and presents only those actions that are relevant to the current object context (e.g., shopping cart context, checkout context), thereby maintaining comprehensiveness where needed while eliminating irrelevance in specific situations.
Solution Approach 2:
The system employs dynamics by making the action set adaptive and changeable based on real-time context. The presented actions are not static but dynamically adjusted according to the recognized object, environmental conditions, and operational state, allowing the interface to evolve from presenting all possible actions to presenting only contextually relevant actions as the system gains understanding of the situation.
2Ease of operation
If context-specific actions are filtered and presented, then administrative efficiency improves, but system complexity increases due to context determination requirements
Solution Approach 1:
The system applies universality by implementing a multi-functional processor that performs both object recognition and context determination using the same hardware infrastructure. The processor circuit is designed to handle multiple functions (video analysis, object identification, context inference, action filtering) within a single integrated system, reducing the need for separate specialized components and thereby mitigating the increase in overall system complexity.
3Speed
If video data is analyzed in real-time to recognize objects and determine context, then relevant actions can be provided promptly, but data processing time and computational resources increase
Solution Approach 1:
The system applies partial action by performing selective analysis of video data rather than processing every frame or every pixel uniformly. The processor focuses computational resources on identifying key objects and determining their context only when necessary, rather than continuously analyzing all visual information. This approach provides timely context-specific actions while reducing overall computational burden and energy consumption.
Data Source
AI summary
Method of processing video data in a retail information processing system can include recognizing an object within a video data feed to provide a recognized object within a retail environment. A context for the recognized object can be determined and a plurality of possible actions can be provided on an electronic display to an administrator of the retail information processing system, where the plurality of possible actions limited to only actions taken in the context for the recognized object. A selection from among the plurality of possible actions to be taken in the context for the recognized object can be received to provide a selected action relative to the recognized object.