Low-Power Video Recording Modes to Prevent Missed Security Events
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Solution Overview
Problem
Continuous video recording in security monitoring systems leads to high power consumption, large data storage requirements, and high computational power needs, with existing solutions like motion detection and cloud storage having limitations such as missed events, unnecessary data storage, and security concerns.
Innovation Solution
A low-power-consumption recording system with configurable operation modes (first-stage, second-stage, and third-stage) that dynamically adjusts power-on/off logic based on trigger conditions, including timed recording, minimized shooting, and full system activation, to optimize energy use and maintain continuous monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous video recording is implemented, then security monitoring coverage is improved, but power consumption increases significantly
Solution Approach 1:
The system dynamically adjusts its operation mode based on detected events. During normal periods, the camera operates in a low-power state with reduced frame rates or disabled recording. When motion or other trigger events are detected, the system transitions to full recording mode. This dynamic adaptation allows continuous monitoring capability while significantly reducing average power consumption compared to uninterrupted recording.
Solution Approach 2:
The recording system employs periodic sampling rather than continuous recording. The camera captures video frames at intervals or only when specific time conditions are met, rather than maintaining constant recording. This periodic operation reduces the total energy consumed while still providing adequate security coverage for analyzing events that occur between sampling points.
2Reliability
If continuous video recording is implemented, then security monitoring coverage is improved, but data storage requirements increase
Solution Approach 1:
The system extracts and stores only the essential information needed for security monitoring rather than preserving all continuous video data. When events are detected, the system captures and stores only the relevant video segments surrounding those events, discarding or not storing the vast amount of unrelated footage. This extraction approach maintains security monitoring effectiveness while dramatically reducing storage requirements.
Solution Approach 2:
The recording system implements partial recording by capturing only specific portions of time when events occur or are suspected, rather than recording the entire continuous timeline. This partial action approach records sufficient data to investigate security incidents while avoiding the storage burden of complete continuous recording, achieving an optimal balance between monitoring coverage and storage consumption.
3Use of energy by moving object
If motion detection technique is used to reduce irrelevant recording, then power consumption is reduced, but important events may be missed
Solution Approach 1:
The system performs preliminary analysis of detected motion or events before deciding whether to activate full recording. When motion is detected, the system first verifies whether the motion meets predefined criteria for significant events (such as duration, intensity, or pattern recognition). Only after this preliminary assessment confirms a genuine event does the system activate recording. This preliminary action prevents both missed events and false positives while maintaining energy efficiency.
Solution Approach 2:
The recording system incorporates feedback mechanisms where the outcomes of previous recordings and event detections inform future recording decisions. The system learns from patterns in detected events, adjusting its sensitivity and triggering thresholds based on historical data. This feedback loop improves event detection accuracy over time while maintaining low power consumption by avoiding unnecessary recording activations, thus resolving the contradiction between reliability and energy use.
Data Source
AI summary
A recording method and device uses a low-power-consumption recording system; an operation mode of the low-power-consumption recording system is configured, where the operation mode includes a first-stage operation mode, a second-stage operation mode, and a third-stage operation mode; switching is performed to a current operation mode based on a trigger condition of each operation mode; and power-on/off processing logic of each unit in the low-power-consumption recording system is scheduled based on the current operation mode, to perform video recording. Therefore, energy consumption is optimized, a continuous video monitoring capability is maintained, and a missed recording problem is resolved when a camera with a battery triggers and starts video recording through heat source sensing.