Event-Mapped Camera Setting Control for Low-Power Detection
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Solution Overview
Problem
Electronic devices with persistent camera operation face high power consumption and inefficient power usage due to frequent detection events, leading to reduced battery life and performance issues.
Innovation Solution
Adjust camera settings based on event mapping by associating environments with detected events, using a feature extractor and keyframe matcher to modulate settings like framerate, resolution, and sensor usage based on event likelihood, reducing power consumption and improving performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the camera operates persistently or frequently to detect objects and events, then detection capability and responsiveness are improved, but power consumption increases significantly
Solution Approach 1:
The camera system dynamically adjusts its operating state based on environmental context. When the processor determines the device is in a location where events are likely to occur, the camera operates at full capability. When in locations where events are unlikely, the camera reduces or suspends operation, thereby maintaining detection reliability when needed while significantly reducing power consumption during low-activity periods.
Solution Approach 2:
The system changes operational parameters (camera activation state, framerate, resolution) based on the likelihood of event occurrence in the current environment. The processor modifies camera settings according to location-based event probability, transitioning between different operational modes to balance detection capability with power efficiency.
2Measurement precision
If the camera operates at high framerate and resolution to capture events, then event detection accuracy is improved, but power consumption and heat generation increase
Solution Approach 1:
The system applies different quality levels to camera operation based on location. In locations where events are likely to occur, the camera operates at high framerate and resolution for accurate detection. In locations where events are unlikely, the camera operates at lower quality settings or remains inactive, thereby maintaining detection accuracy when needed while reducing power consumption and heat generation during low-activity periods.
3Loss of time
If the camera operates continuously to meet latency requirements, then response time to events is improved, but battery life is reduced
Solution Approach 1:
Instead of continuous operation, the camera operates periodically based on location-based event likelihood. The processor enables the camera to operate at full capability when in locations where events are likely to occur, and reduces or suspends operation when in locations where events are unlikely. This periodic activation pattern maintains acceptable response latency for detecting relevant events while significantly extending battery life compared to continuous operation.
Data Source
AI summary
Systems, methods, and non-transitory media are provided for adjusting camera settings based on event data. An example method can include obtaining, via an image capture device of a mobile device, an image depicting at least a portion of an environment; determining a match between one or more visual features extracted from the image and one or more visual features associated with a keyframe; and based on the match, adjusting one or more settings of the image capture device.