Image Sensor ROI Ranking for Low-Power Motion Pre-Recording
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Solution Overview
Problem
Conventional security monitoring systems face high power consumption due to excessive data processing by back end circuits, and existing motion detection methods fail to capture images promptly after detecting unusual events, leading to delayed recording.
Innovation Solution
A smart motion detection device with a sleep and wakeup mode, utilizing a passive detector to trigger image capturing units for low-quality image analysis, followed by high-quality image capture and processing to actuate external hosts, reducing unnecessary power usage and enabling immediate response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image sensor continuously captures and processes high-quality images, then the image quality and detection accuracy are improved, but the power consumption increases significantly
Solution Approach 1:
The system dynamically adjusts image quality based on detection needs. During normal operation, low-quality images are captured to conserve power. When motion is detected by the passive detector, the system switches to capturing high-quality images for accurate analysis, thus adapting image quality to operational requirements
Solution Approach 2:
The system uses periodic low-quality image capture combined with motion-triggered high-quality capture. The passive detector periodically monitors for motion events, and only when motion is detected does the system activate high-quality image capture, creating a periodic action pattern that balances power consumption with detection accuracy
2Productivity
If the back end circuit processes all captured images, then comprehensive image analysis is achieved, but the data processing load and power consumption increase
Solution Approach 1:
The system extracts and processes only the most relevant information. The passive detector extracts motion detection data from the image stream, and only images containing motion events are sent to the back end circuit for detailed analysis. This extraction principle filters out unnecessary data processing, reducing power consumption while maintaining effective monitoring capability
Solution Approach 2:
The passive detector acts as an intermediary between the image sensor and back end circuit. It pre-processes the image data by detecting motion events, and only forwards relevant images to the back end circuit. This intermediary layer reduces the data processing load on the back end circuit while ensuring comprehensive analysis of important events
3Loss of energy
If the system waits for external host wakeup to capture images, then power saving is achieved, but the response time to detected events is delayed
Solution Approach 1:
The passive detector performs preliminary motion detection before the external host wakes up. When motion is detected in advance, the system can immediately capture high-quality images upon host wakeup, eliminating the need to wait for host activation. This preliminary action ensures that important events are not missed while still maintaining power saving during idle periods
Data Source
AI summary
A motion detection method applied into an image sensor device includes: providing a plurality of regions of interest (ROIs) on at least one monitoring image; for each region of interest (ROI): detecting whether at least one motion event occurs within the each ROI; and determining a priority level of the each ROI according to at least one feature information of the at least one motion event; and determining an alarm schedule of the ROIs for a user according to a plurality of priority levels of the ROIs.