Surveillance Image Summarization for Low-Traffic Event Monitoring

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Solution Overview

Problem

Conventional home security surveillance systems require users to spend significant time and energy viewing large volumes of surveillance images, leading to reduced efficiency and increased network traffic, with up to 50% of anomaly notifications being harmless.

Innovation Solution

A surveillance system with an intelligent application image recognition program that automatically generates text summaries by capturing images, extracting relevant segments, and generating descriptive sentences, which are then combined into a chronological chain summary for quick user understanding.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If users review surveillance images to understand the status of the surveillance area, then users can obtain detailed information about the monitored area, but users spend significant time and energy leading to reduced work efficiency

Engineering Contradiction:

Improveinformation about surveillance area statusVSAvoidtime spent reviewing images

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The patent introduces an intermediary component (image recognition program and text generation system) that translates visual surveillance data into textual summaries. This intermediary processes the images and generates descriptive text about detected objects, actions, and events, allowing users to comprehend surveillance status through text rather than directly viewing images, thereby reducing time and energy expenditure while maintaining information quality

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the mechanical process of human visual inspection with an automated image recognition and text generation system. The system uses computer vision algorithms to detect objects, actions, and events in surveillance images, then generates natural language descriptions automatically, substituting manual image review with automated optical and computational processes

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If surveillance images are transmitted frequently for user review, then users can monitor the surveillance area in real-time, but network traffic increases significantly

Engineering Contradiction:

Improvereal-time monitoring capabilityVSAvoidnetwork traffic

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The patent extracts only the essential information from surveillance images by using image recognition to identify and describe significant objects, actions, and events. Instead of transmitting entire images or continuous video streams, the system extracts key features and generates concise text summaries containing only relevant information, thereby maintaining real-time monitoring capability while dramatically reducing network traffic

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent changes the parameter of information representation from visual data (images/video) to textual data. This parameter transformation allows the same monitoring function to be achieved with much lower data transmission requirements, as text descriptions require significantly less bandwidth than image or video data while preserving the essential surveillance information

Inventive Principle:

Principle #35Parameter changes

3Loss of time

If electronic fences are used to generate anomaly notifications, then the time users spend watching surveillance images is reduced, but up to 50% of notifications are classified as harmless

Engineering Contradiction:

Improvetime spent watching surveillance imagesVSAvoidaccuracy of anomaly detection

Core Design Contradiction:

Loss of timeVSLoss of information

Solution Approach 1:

The patent implements feedback mechanisms where the text generation system continuously learns from user interactions with anomaly notifications. The system analyzes user responses to determine which notifications are relevant and which are false alarms, using this feedback to refine its detection algorithms and improve the accuracy of future notifications, thereby reducing both time spent reviewing images and the proportion of harmless alerts

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12608946B1Surveillance system with function of automatically generating text summaries and generation method thereof

Publication Date: 2026.04.21 PRIMAX ELECTRONICS LTD

AI summary

A surveillance system with a function of automatically generating text summaries and a text summary generation method are provided. The surveillance system includes a portable electronic device, an image capturing device, a computing device and a signal transmission device. The image capturing device captures an image of a surveillance area. When an intelligent application image recognition program in the computing device is read and executed, the captured image of the surveillance area is processed into the corresponding text summary. In addition, the text summary is transmitted to the portable electronic device through the signal transmission device.