Object Recognition Dictionary Switching for Outdoor Camera Conditions
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Solution Overview
Problem
Object recognition systems installed outdoors face challenges in maintaining recognition accuracy due to changes in environmental conditions such as time zones and weather, with existing systems struggling to automatically adapt and improve recognition performance.
Innovation Solution
An object recognition system that includes an object recognition means, a first acquisition means for reliability index, a second acquisition means for imaging environment, and a control means to determine if a recognition dictionary needs to be changed based on these indices, allowing selection from multiple dictionaries optimized for different conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single recognition dictionary is used for object recognition, then the system structure is simple, but recognition accuracy deteriorates when environmental conditions change
Solution Approach 1:
The system dynamically switches between multiple recognition dictionaries based on environmental conditions (time of day, weather). The control unit selects appropriate dictionaries from storage based on detected environmental factors, making the system adaptive rather than static. This resolves the contradiction by allowing high accuracy across varying conditions while maintaining manageable complexity through automated selection.
Solution Approach 2:
The system changes the parameter of recognition dictionary selection based on environmental parameters (illumination conditions, weather). By monitoring environmental parameters and corresponding them to appropriate recognition dictionaries, the system maintains high recognition accuracy without requiring a single complex dictionary to handle all conditions.
2Measurement precision
If multiple recognition dictionaries are prepared for different environments, then recognition accuracy is maintained across conditions, but system complexity increases
Solution Approach 1:
The system performs self-service by automatically selecting the appropriate recognition dictionary based on environmental conditions detected by its own sensors. The control unit monitors environmental factors and autonomously chooses the best dictionary without external intervention, reducing the operational complexity despite having multiple dictionaries available.
Solution Approach 2:
The system uses feedback from environmental sensors (illumination detection, weather information) to select the appropriate recognition dictionary. This feedback mechanism allows the system to adapt to changing conditions automatically, maintaining high accuracy while the complexity is managed through rule-based selection rather than complex processing.
3Adaptability or versatility
If manual intervention is used to change recognition dictionaries, then system complexity is reduced, but adaptability to environmental changes deteriorates
Solution Approach 1:
The system serves itself by automatically detecting environmental conditions and selecting appropriate recognition dictionaries without manual intervention. The control unit monitors environmental parameters and autonomously switches dictionaries, achieving high environmental adaptability while keeping the control mechanism relatively simple through predefined selection rules.
Solution Approach 2:
Environmental sensors provide feedback about current conditions (illumination, weather) to the control unit, which then selects the appropriate recognition dictionary. This feedback loop enables automatic adaptation to environmental changes without complex manual control mechanisms, resolving the contradiction between adaptability and complexity.
Data Source
AI summary
An object recognition system according to an aspect of the present disclosure includes: at least one memory configured to storing instructions; and at least one processor configured to execute the instructions to: execute an object recognition of a moving object appearing in a camera using a recognition dictionary; acquire a first index value indicating reliability of a result of object recognition of the moving object; acquire a second index value representing an imaging environment of the camera; determine whether it is required to change a recognition dictionary to be used for the object recognition based on the first index value; and select the recognition dictionary to be used for the object recognition from among a plurality of recognition dictionaries based on the second index value when it is determined that the recognition dictionary is to be changed.