Surveillance Camera Event-Triggered High-Quality Image Capture

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Solution Overview

Problem

Surveillance cameras require higher storage capacity to transmit high-quality images upon request, increasing costs and bandwidth usage.

Innovation Solution

A surveillance system that analyzes images to identify events and triggers higher-quality image capture locally, transmitting only when necessary, reducing storage demands on both the camera and server.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If cameras store and transmit high quality images upon request, then image quality for further examination is improved, but storage capacity requirements and costs increase

Engineering Contradiction:
Improveimage qualityVSAvoidstorage capacity
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The system applies different quality levels to different portions of the surveillance data stream. Low-quality images are transmitted continuously for monitoring, while high-quality images are captured and transmitted only when events are detected, creating local quality variations based on operational needs

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The image quality is made dynamic rather than static. The camera switches between low-quality continuous transmission and high-quality event-based transmission based on real-time conditions, allowing the system to adapt quality levels to actual surveillance requirements

Inventive Principle:
Principle #15Dynamics

2Measurement precision

If cameras continuously transmit high quality images, then image quality is improved, but bandwidth usage increases

Engineering Contradiction:
Improveimage qualityVSAvoidbandwidth usage
Core Design Contradiction:
Measurement precisionVSLoss of energy

Solution Approach 1:

Instead of continuous high-quality transmission, the system uses periodic low-quality transmission interspersed with event-triggered high-quality transmission. The analysis component periodically evaluates incoming low-quality images to determine when high-quality capture is necessary

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system extracts only the necessary high-quality images from the continuous stream based on event detection. Rather than transmitting all high-quality images, it takes out and transmits only those portions where events occur, reducing overall bandwidth consumption

Inventive Principle:
Principle #2Taking out (Extraction)

3Measurement precision

If cameras have higher storage capacity, then ability to provide high quality images is improved, but camera costs increase

Engineering Contradiction:
Improveimage qualityVSAvoidcamera cost
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The camera performs partial high-quality capture rather than continuous high-quality capture. It captures high-quality images only for detected events, using excessive action only when necessary rather than continuously, thereby reducing storage requirements while maintaining the ability to provide high-quality images when needed

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20260051169A1Methods and apparatuses for operating a surveillance system with reduced impact
Publication Date: 2026.02.19 TYCO FIRE & SECURITY GMBH
  • US20260051169A1 patent drawing
  • US20260051169A1 patent drawing
  • US20260051169A1 patent drawing

AI summary

Certain aspects of the present disclosure may include methods, systems, and non-transitory computer readable media for receiving a first plurality of images from a first camera, analyzing the first plurality of images to identify an event, transmitting an indication signal to the first camera indicating the identifying of the event, and receiving a second plurality of images from the first camera in response to the first camera receiving the indication signal, the second plurality of images occupying more storage space than the first plurality of images.