Intelligent Terminal Target Identification Using Segmented Time Windows
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Solution Overview
Problem
Intelligent terminals face a challenge in balancing the timeliness and detail of target recognition, as they often need to sacrifice timeliness for detailed identification results, which is not conducive to human-machine interaction experiences.
Innovation Solution
A target identification method that uses information acquired within a predetermined time period as judgment information, prioritizing attribute types for identification, and continuously acquiring information if the initial result is not the most detailed, allowing for timely and progressively more detailed identification outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the intelligent terminal acquires and analyzes more information to improve identification detail, then the detail degree of identification result is improved, but the time consumption increases and timeliness deteriorates
Solution Approach 1:
The identification process is segmented into multiple time periods (first predetermined time period, second predetermined time period, etc.). In each segment, the terminal acquires information within that specific time window and performs identification. This segmentation allows the system to provide identification results at different detail levels at different time points, rather than requiring all information to be collected before any identification can occur.
Solution Approach 2:
The terminal performs preliminary identification actions using information acquired within each predetermined time period before all information is fully collected. By outputting identification results progressively as information becomes available, the system provides timely preliminary results while continuing to gather more information for potentially more detailed future identification.
2Productivity
If the intelligent terminal outputs identification result within a limited time, then timeliness is improved, but the detail degree of identification result deteriorates
Solution Approach 1:
The terminal performs periodic identification actions at predetermined time intervals. Instead of a single identification attempt, the system repeatedly acquires information and performs identification at regular time periods, allowing it to balance timely output with progressive improvement in identification detail as more information becomes available over time.
3Measurement precision
If the intelligent terminal continuously acquires information to improve identification detail, then the detail degree is improved, but the operation complexity increases
Solution Approach 1:
The terminal dynamically adjusts its information acquisition and identification process based on the attribute types and their priorities. The system flexibly determines whether to continue acquiring information in subsequent time periods based on whether the current identification result achieves the highest priority attribute type, allowing adaptive complexity management rather than rigid continuous acquisition.
Data Source
AI summary
A target identification method includes: using information of a to-be-detected target acquired within a predetermined time period as judgment information; acquiring an identification result of the to-be-detected target at a current time and outputting the identification result; judging whether the attribute type corresponding to the identification result is an attribute type having the highest priority; and if the attribute type corresponding to the identification result is not the attribute type having the highest priority, using information of the to-be-detected target acquired within a next predetermined time period as the judgment information, and returning to the step of acquiring an identification result of the to-be-detected target at a current time and outputting the identification result.