Historical Camera Selection for Battery-Powered Biological Recognition
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Solution Overview
Problem
Devices for biological information recognition powered by batteries face high power consumption, leading to a short endurance and limiting their use scenarios.
Innovation Solution
A method and apparatus for biological information recognition that selects a target camera based on historical usage information, optimizing camera usage to reduce power consumption and extend battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple groups of recognition devices are enabled to continuously recognize biological information, then the recognition accuracy and reliability are improved, but the power consumption increases and endurance decreases
Solution Approach 1:
The patent implements dynamic camera selection based on historical usage information. The system determines which cameras to activate for each recognition task rather than keeping all cameras continuously enabled. This dynamic adjustment allows the device to maintain recognition reliability when needed while reducing power consumption during normal operation, directly resolving the contradiction between reliability and energy usage.
Solution Approach 2:
The patent changes the operational state parameter of cameras from a static 'always on' mode to a dynamic 'selectively activated' mode. By analyzing historical usage data and adjusting camera activation parameters accordingly, the system maintains recognition accuracy when cameras are activated while minimizing power consumption by keeping them inactive otherwise, thus resolving the energy-reliability trade-off.
2Adaptability or versatility
If multiple groups of recognition devices are enabled to continuously recognize biological information, then the recognition coverage is improved, but the endurance of battery-powered devices decreases
Solution Approach 1:
The system dynamically adjusts camera activation based on real-time and historical usage patterns. By determining which cameras are actually needed for each recognition task and activating only those, the system maintains comprehensive recognition coverage when required while extending battery endurance during periods when full coverage is not necessary, directly addressing the contradiction between adaptability and duration of action.
Solution Approach 2:
The patent applies partial action by activating only the necessary subset of cameras for each recognition task rather than all cameras continuously. This selective activation maintains sufficient recognition coverage for successful operation while significantly reducing overall power consumption to extend device endurance, resolving the contradiction between coverage and duration.
3Loss of information
If all cameras are continuously activated for biological information collection, then the data completeness is improved, but the energy efficiency deteriorates
Solution Approach 1:
The patent implements dynamic camera selection that determines which cameras to activate based on historical usage information and current recognition needs. This ensures that sufficient biological information is collected to maintain data completeness for successful recognition while avoiding unnecessary camera activation that would waste energy, directly resolving the contradiction between information completeness and energy efficiency.
Solution Approach 2:
The system changes the operational parameter of cameras from continuous activation to selective activation based on analyzed usage patterns. This parameter change ensures that cameras are activated only when necessary to collect adequate biological information, maintaining data completeness while improving energy efficiency by eliminating unnecessary camera operation.
Data Source
AI summary
Based on historical usage information of a device for biological information recognition, at least a first camera from cameras of the device is selected. The cameras are configured to respectively collect biological information images for services. At least a second camera in the cameras is configured in a power saving mode, the second camera is not selected based on the historical usage information of the device. A target biological information image of a target object is obtained by using the first camera, the target biological information image includes identifiable biological information of the target object. Image recognition processing is performed based on the target biological information image, to obtain object identity information of the target object according to the identifiable biological information in the target biological information image. The target object is provided with a target service of the services based on the object identity information.