AI Image Surveillance Overlay for Remote Secondary Processing

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Solution Overview

Problem

Traditional image surveillance equipment lacks the ability to mark analysis results of all types of objects in real-time and provide original images or remote secondary processing, making it inconvenient for scenes requiring remote secondary processing.

Innovation Solution

An image surveillance system that includes a camera module, artificial intelligence module, server, and terminal device, allowing for real-time analysis and display of original images and superimposed images with analysis results, enabling synchronized frame processing and user-controlled settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional image surveillance equipment only analyzes images and sends analysis results back to the host computer, then the system structure is simple, but it cannot provide original images or enable remote secondary processing

Engineering Contradiction:
Improveremote secondary processing capabilityVSAvoidsystem structure
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system divides functionality into separate modules: camera module for image capture, artificial intelligence module for analysis, server for coordination, and terminal device for display. This segmentation allows each component to perform its specific function independently, enabling remote secondary processing while maintaining manageable system complexity through modular architecture

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The server acts as an intermediary between the camera module and terminal device, coordinating data transmission and processing. This intermediary component enables remote secondary processing by facilitating communication and data flow between distributed system components without requiring direct complex interconnections

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If traditional image surveillance equipment does not mark analysis results of all types of objects, then the processing speed is fast, but it cannot provide good image surveillance results for scenes requiring remote secondary processing

Engineering Contradiction:
Improveanalysis result marking completenessVSAvoidprocessing speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The artificial intelligence module performs preliminary analysis and marking of all object types in the image before transmission to the terminal device. This preliminary action ensures that analysis results are prepared in advance with complete markings, enabling fast transmission and display while maintaining high measurement precision through comprehensive object identification

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If the system transmits only analysis results without original images, then the data transmission volume is reduced, but remote secondary processing becomes impossible

Engineering Contradiction:
Improveremote secondary processing capabilityVSAvoiddata transmission volume
Core Design Contradiction:
Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The system dynamically adjusts what is transmitted based on needs: the terminal device can receive and display original images, analysis results, or superimposed images combining both. This dynamic transmission approach enables remote secondary processing capability while optimizing data transmission volume by sending only necessary data types for each specific task

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20250384689A1Image surveillance method, image surveillance system, and terminal device
Publication Date: 2025.12.18 VIA TECH INC
  • US20250384689A1 patent drawing
  • US20250384689A1 patent drawing
  • US20250384689A1 patent drawing

AI summary

An image surveillance method, an image surveillance system, and a terminal device are disclosed. The image surveillance method includes the following steps: obtaining an original image through a camera module, and providing the original image to an artificial intelligence module and a server; analyzing the original image through the artificial intelligence module to generate an analysis result, and providing the analysis result to the server; providing the original image and the analysis result to the terminal device through the server; and displays the original image, the analysis result, or a superimposed image through the terminal device, where the superimposed image is a result of superimposed a part of the analysis result onto the original image.