Surveillance System Auxiliary Sensor Motion Detection Power Management

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Solution Overview

Problem

Conventional surveillance systems face inefficiencies in distinguishing meaningful content from non-essential data, leading to excessive storage needs and high power consumption, as they lack effective methods to discern and store only relevant audio/video content.

Innovation Solution

A surveillance system employing an auxiliary sensor module for continuous, low-resolution monitoring and a main sensor module that activates only upon detecting objects of interest, utilizing a multi-stage detection process involving motion detection, ROI determination, feature extraction, and object recognition to efficiently manage power usage and storage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the camera and DVR are kept on always for full-time monitoring, then surveillance reliability is improved, but power consumption and storage space requirements increase significantly

Engineering Contradiction:
Improvesurveillance reliabilityVSAvoidpower consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The auxiliary sensor module performs preliminary detection of motion in the scene before the main sensor module is activated. This preliminary action allows the system to prepare for surveillance only when necessary, avoiding continuous operation of the power-intensive main sensor while maintaining surveillance reliability through the auxiliary sensor's monitoring capability.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts the operational state of the main sensor module based on detection results from the auxiliary sensor. When motion is detected, the main sensor transitions from a power-saving mode to an active surveillance mode. This dynamic state adjustment resolves the contradiction by adapting power consumption to actual surveillance needs while maintaining reliability.

Inventive Principle:
Principle #15Dynamics

2Reliability

If the camera and DVR are kept on always for full-time monitoring, then surveillance reliability is improved, but storage space requirements increase significantly

Engineering Contradiction:
Improvesurveillance reliabilityVSAvoidstorage space
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The auxiliary sensor module performs preliminary detection to determine whether surveillance recording is necessary before the main sensor module activates. This preliminary screening action prevents unnecessary high-resolution video recording, significantly reducing storage space requirements while maintaining surveillance reliability by ensuring that actual events are captured.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system dynamically controls the recording state of the main sensor module based on auxiliary sensor detection. Recording is activated only when motion is detected, creating a dynamic storage usage pattern that reduces overall storage requirements while preserving all meaningful surveillance data for reliable event documentation.

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If the main sensor module is kept active for high-resolution surveillance, then measurement precision is improved, but power consumption increases

Engineering Contradiction:
Improvesurveillance qualityVSAvoidpower consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The surveillance function is segmented into two stages: preliminary detection by the auxiliary sensor module and detailed surveillance by the main sensor module. This segmentation allows the high-precision main sensor to operate only when needed, reducing power consumption while maintaining measurement precision for actual surveillance events through the coordinated two-stage approach.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The main sensor module dynamically transitions between power-saving mode and active high-resolution surveillance mode based on auxiliary sensor detection. This dynamic operation maintains measurement precision during actual surveillance events while significantly reducing power consumption during normal standby periods when no surveillance is required.

Inventive Principle:
Principle #15Dynamics

4Quantity of substance

If downgrading video quality is used to reduce storage space, then storage requirements are reduced, but measurement precision deteriorates

Engineering Contradiction:
Improvestorage spaceVSAvoidvideo quality
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The system dynamically adjusts video recording quality based on detection events. When motion is detected by the auxiliary sensor, the main sensor module activates and records high-resolution video. When no motion is detected, recording is suspended or performed at lower quality. This dynamic quality adjustment reduces overall storage requirements while preserving measurement precision for actual surveillance events.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS10757377B2Surveillance system and operation method thereof
Publication Date: 2020.08.25 PIXART IMAGING INC
  • US10757377B2 patent drawing
  • US10757377B2 patent drawing
  • US10757377B2 patent drawing

AI summary

The disclosure is related to a surveillance system and an operation method thereof. The surveillance system includes an auxiliary sensor module that is in full-time operation, and a main sensor module that is in a power-saving mode at a normal state. The main sensor is in operation only if the signals generated by the auxiliary sensor module meet a criterion of surveillance. The surveillance system can reduce power consumption since the more powerful main sensor module stays in the power-saving mode without actuation. The surveillance system can process the surveillance data generated by the auxiliary sensor module since it adopts the steps of ROI detection, feature extraction, and object recognition in an early stage of a whole surveillance process.