Mobile Camera State Switching for Low-Power Object Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing mobile terminal operations for object recognition, such as face recognition or code scanning payment, are complex and require multiple steps including screen activation and application opening, leading to inefficient use.
Innovation Solution
A method and mobile terminal design that allows the camera to operate in a low-power first state when the screen is off, transitioning to a high-power state for object recognition when a preset condition is met, enabling seamless object capture and display without manual user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera operates in a high-power state continuously to ensure accurate object recognition, then the recognition accuracy is improved, but the power consumption increases
Solution Approach 1:
The camera dynamically switches between first operating state (low power) and second operating state (high power) based on operational needs. When the screen is off, the camera operates in the first state to save power. When the screen is on and object recognition is required, the camera switches to the second state to ensure accurate recognition, thus resolving the contradiction between continuous high accuracy and power consumption.
Solution Approach 2:
The operating parameters of the camera (power state) are changed based on the screen state and recognition requirements. The system adjusts the camera's operating mode between two distinct states, changing parameters such as power consumption level to match the current operational context, thereby optimizing both accuracy and energy usage.
2Use of energy by moving object
If the camera operates in a low-power first state to reduce energy consumption, then the power consumption is reduced, but the object recognition accuracy may be compromised
Solution Approach 1:
The system dynamically adjusts the camera's operating state based on real-time conditions. When power saving is prioritized (screen off), the camera operates in the first state. When recognition accuracy is needed (screen on), the system transitions to the second state, making the camera's performance characteristics dynamic rather than static.
Solution Approach 2:
The system prepares the camera in advance by operating it in the first state when the screen is off, conserving power. When the screen turns on, the camera is already positioned and ready to switch to the second state for accurate recognition, eliminating delays and ensuring immediate high-accuracy operation when needed.
3Device complexity
If manual operations are required to open applications and activate the camera for scanning, then the system control is simplified, but the user operation complexity increases
Solution Approach 1:
The system provides self-service by automatically activating the camera and initiating object recognition when the screen is turned on, without requiring the user to manually open applications or activate scanning functions. The mobile terminal autonomously determines when recognition is needed and executes the appropriate actions, reducing user burden while maintaining system control.
Solution Approach 2:
The system performs preliminary actions by keeping the camera ready in the first operating state when the screen is off, and automatically transitioning to the second state and initiating recognition when the screen turns on. This preliminary preparation eliminates the need for manual intervention, as the system has already positioned itself to perform recognition immediately when needed.
4Adaptability or versatility
If the camera switches between operating states frequently to adapt to screen state changes, then the adaptability is improved, but the system response time may be delayed
Solution Approach 1:
The camera's operating state is made dynamic, automatically adapting to screen state changes. The system monitors the screen state and switches the camera between first and second operating states accordingly, providing adaptability to different operational contexts while maintaining relatively fast response through automated state management.
Solution Approach 2:
The system performs preliminary state preparation by maintaining the camera in the first operating state when the screen is off, ready to switch to the second state when needed. This preliminary positioning reduces the effective switching time, as the camera is already prepared and can transition immediately when the screen turns on, minimizing response delays.
Data Source
AI summary
An object identification method and a mobile terminal are provided. The object identification method includes: capturing a scan object through the camera in a first operating state, in a case that a screen of the mobile terminal is turned off, to obtain a first capturing result; controlling the camera to enter a second operating state in a case that the scan object is determined to meet a preset condition according to the first capturing result, capturing the scan object through the camera in the second operating state to obtain a second capturing result, recognizing the scan object according to the second capturing result, and controlling the mobile terminal to turn on the screen to display a recognition result corresponding to the scan object.