Predictive Camera Initialization for Latency Reduction
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Solution Overview
Problem
Current camera systems experience latency issues due to the need to quickly initialize higher-power cameras, which consumes significant power and resources, leading to delayed availability and missed opportunities for capturing images or videos, especially for short-lived events.
Innovation Solution
Implementing a predictive camera initialization method that uses a lower-power camera to classify scenes and predict camera use events, allowing for pre-initialization of higher-power cameras based on anticipated events, such as user input or specific scene conditions, thereby optimizing power modes and reducing startup latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If higher-power cameras are initialized quickly to capture images or videos, then image capture speed is improved, but power consumption and resource usage increase significantly
Solution Approach 1:
The system performs preliminary classification of scenes using a lower-power camera before activating the higher-power camera. By analyzing the captured scene data in advance and predicting potential camera use events, the system prepares to initialize the higher-power camera only when necessary, thus reducing unnecessary power consumption while maintaining fast response when actually needed.
Solution Approach 2:
The system dynamically adjusts the power mode of cameras based on predicted usage. Instead of maintaining a fixed power state, the camera system transitions between different power modes (low-power standby and high-power active) based on real-time scene analysis and prediction algorithms, optimizing the balance between speed and energy consumption.
2Loss of time
If higher-power cameras are kept ready to reduce latency, then image capture latency is reduced, but power consumption and resource usage increase
Solution Approach 1:
The system performs preliminary scene classification and prediction using a lower-power camera before activating the higher-power camera. This advance preparation allows the system to initialize the higher-power camera only when a camera use event is predicted, reducing startup latency when needed while avoiding continuous operation that would consume excessive power.
Solution Approach 2:
The lower-power camera serves the dual purpose of both capturing images and performing scene classification for prediction. By using the same hardware resource for multiple functions, the system avoids the need for dedicated prediction hardware, reducing overall power consumption while maintaining the ability to predict and prepare for higher-power camera activation.
3Use of energy by moving object
If lower-power camera is used for scene classification, then power consumption is reduced, but imaging and processing capabilities are limited
Solution Approach 1:
The system segments the camera system into two distinct components: a lower-power camera for scene classification and prediction, and a higher-power camera for high-quality imaging. Each camera is optimized for its specific function, allowing the lower-power camera to efficiently perform classification tasks while the higher-power camera provides full imaging capabilities when activated.
Solution Approach 2:
The lower-power camera is designed to perform multiple functions: capturing images for display, classifying scenes for prediction, and triggering higher-power camera activation. This multi-functionality allows a single lower-power camera to replace what would otherwise require separate dedicated components, reducing overall system power consumption while maintaining versatility.
Data Source
AI summary
Systems, methods, and non-transitory media are provided for predictive camera initialization. An example method can include obtain, from a first image capture device, image data depicting a scene; classify the scene based on the image data; based on the classification of the scene, predict a camera use event; and based on the predicted camera use event, adjust a power mode of at least one of the first image capture device and a second image capture device.