Object Recognition Illumination Control for Lighting Variations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automatic object recognition systems face difficulties due to variations in illuminating conditions, which affect the quality of photographs and subsequently the recognition results.
Innovation Solution
An object recognition system comprising an illumination apparatus, a lighting sensor, and a processor that adjusts illumination parameters to maintain ambient light within a preset range, ensuring optimal imaging conditions for accurate object recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If photographing is performed under varying illuminating conditions, then the recognition system can operate in different environments, but the imaging quality deteriorates and recognition accuracy decreases
Solution Approach 1:
The system dynamically adjusts illumination parameters (intensity, color temperature) based on detected ambient lighting conditions to maintain optimal imaging quality across different environments. The controller modifies lighting parameters in real-time to compensate for environmental variations.
Solution Approach 2:
The system uses lighting sensors to detect ambient light conditions and feeds this information back to the controller, which then adjusts the illumination apparatus accordingly. This closed-loop control ensures consistent imaging quality regardless of environmental changes.
2Measurement precision
If illumination parameters are dynamically adjusted to maintain optimal lighting conditions, then recognition accuracy improves, but system complexity increases
Solution Approach 1:
The controller serves multiple functions: it manages illumination apparatus, processes sensor data, and adjusts lighting parameters. The integrated design combines detection and control functions in a single control unit, reducing overall system complexity despite the dynamic adjustment capabilities.
Solution Approach 2:
The system automatically detects ambient lighting conditions and adjusts illumination parameters without requiring manual intervention. The controller autonomously manages the illumination apparatus based on sensor feedback, eliminating the need for complex external control systems.
3Adaptability or versatility
If multiple light emitting assemblies with different color temperatures are used, then lighting adaptability improves, but device complexity increases
Solution Approach 1:
The illumination apparatus is divided into multiple independent light emitting assemblies, each producing light with different color temperatures. This segmentation allows the system to selectively activate specific assemblies based on ambient lighting conditions, providing adaptability while maintaining modular simplicity.
Solution Approach 2:
The system dynamically selects and adjusts the output of different light emitting assemblies based on real-time ambient lighting detection. The controller can activate or deactivate specific assemblies and adjust their intensity to match the environmental conditions, providing adaptive lighting without requiring a completely redesign of the illumination apparatus.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system improves the accuracy and reliability of object recognition by stabilizing lighting conditions, enhancing the effectiveness of automatic recognition processes.
Implementation Method 1
a first light emitting assembly configured to generate a first radiated light having a first color temperature and a first light intensity... a second light emitting assembly configured to generate a second radiated light having a second color temperature and a second light intensity... a third light emitting assembly configured to generate a third radiated light having a preset color and a third light intensity
Data Source
AI summary
The present disclosure relates to an object recognition system and method. The system comprises: an illumination apparatus configured to generate an illumination light for illuminating an object; a lighting sensor configured to acquire a first lighting parameter of an ambient light in a recognition environment in which the object is located; an imaging apparatus configured to acquire imaging data of the object; a first controller communicatively connected with the illumination apparatus and the lighting sensor, and configured to control a second lighting parameter of the illumination light generated by the illumination apparatus according to the first lighting parameter, until the first lighting parameter of the ambient light is within a preset parameter range; and a processor communicatively connected with the imaging apparatus and the first controller, and configured to recognize the object according to imaging data of the object under the ambient light within the preset parameter range.