ISP Motion Detection for Low-False-Positive Security Cameras
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Solution Overview
Problem
Security cameras often trigger unnecessary video capture due to insignificant motion detection, leading to increased power consumption and battery depletion, particularly when using passive infrared sensors with tunable thresholds that either miss important events or capture uninteresting footage.
Innovation Solution
Implement an image signal processor (ISP)-based motion detection system that corroborates motion events detected by PIR sensors, utilizing pre-demosaicing pixel information to reduce compute and power requirements, and incorporates a machine learning-based object detector to confirm the presence of relevant objects before initiating video streaming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If PIR sensor motion detection is used to trigger video capture, then motion events can be detected, but false positives occur due to insignificant motion
Solution Approach 1:
The patent introduces an image signal processor (ISP) as an intermediary between the PIR sensor and video capture system. The ISP analyzes image data from the camera sensor to corroborate PIR-detected motion events, filtering out false positives caused by insignificant motion while maintaining detection of relevant events.
Solution Approach 2:
The system implements feedback by using the ISP to analyze image data and provide verification of PIR sensor detections. This feedback loop allows the system to confirm whether detected motion represents a genuine event worthy of video capture, reducing false positives.
2Reliability
If video capture is triggered by motion detection, then motion events are recorded, but power consumption increases and battery depletes
Solution Approach 1:
The patent applies partial action by selectively triggering video capture only for motion events that are corroborated by ISP analysis of image data. This partial triggering approach reduces unnecessary video capture and power consumption while maintaining reliable detection of genuine events.
Solution Approach 2:
The system performs preliminary action by having the ISP analyze image data before initiating video capture. This preliminary verification step filters out insignificant motion events, preventing unnecessary video capture and conserving battery power.
3Measurement precision
If PIR sensor threshold is lowered to detect more events, then more motion is detected, but insignificant motion triggers increase
Solution Approach 1:
The ISP serves as an intermediary that verifies PIR sensor detections regardless of threshold settings. By analyzing image data from the camera sensor, the ISP can confirm whether low-threshold PIR detections represent genuine events or insignificant motion, enabling lower thresholds without increasing false positives.
4Reliability
If continuous video capture is performed, then all events are recorded, but battery life decreases
Solution Approach 1:
The system implements partial action by triggering video capture only for corroborated motion events rather than continuously. This selective approach maintains reliable recording of genuine events while significantly reducing power consumption and extending battery life.
Solution Approach 2:
The system uses periodic motion detection triggering instead of continuous video capture. Video capture is activated periodically only when motion events are detected and corroborated by the ISP, reducing overall power consumption while maintaining event recording completeness.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Reduces false positives in motion detection, conserves battery power by limiting unnecessary video capture, and ensures that only relevant events trigger video streaming, thereby extending battery life and optimizing power usage.
Implementation Method 1
Security cameras often trigger unnecessary video capture due to insignificant motion detection, leading to increased power consumption and battery depletion, particularly when using passive infrared sensors
Data Source
AI summary
Systems and techniques are described for image signal processor motion detection. In various examples, first image data including pixel values may be generated, where each pixel value is associated with a respective color tag of a color filter array. A first set of the pixel values corresponding to a first block may be determined. A second set of pixel values may be determined based on a respective pixel value of the first set and the respective color tag associated with that respective pixel value. A first intensity value associated with the first block may be determined based on the second set of pixel values. A second intensity value associated with a reference block may be determined. A comparison value representing a difference between the first intensity value and the second intensity value may be determined. A signal indicating detected motion may be sent based on the comparison value.