Surveillance Camera Multi-Modal Abnormality Detection
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Solution Overview
Problem
In image monitoring systems, it is challenging for users to efficiently detect and verify abnormal situations across multiple surveillance cameras in real-time, with difficulties in distinguishing between actual and false alarms, especially when analyzing moving objects and sound sources.
Innovation Solution
The system incorporates a surveillance camera with an image analyzer, sound source analyzer, and determiner to generate and display metadata about abnormal situations, determining whether sound sources are within or outside the image frame and whether they indicate the same event, thereby reducing false alarms and improving monitoring efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple surveillance cameras operate simultaneously to monitor more areas, then the coverage area increases, but it becomes difficult for users to check in real time whether all surveillance scenes are abnormal
Solution Approach 1:
The patent introduces an abnormal situation determination module as an intermediary that automatically analyzes images from multiple cameras, determines whether abnormal situations exist, and generates alerts. This mediator handles the complex task of monitoring multiple feeds, relieving users from manually checking each camera and solving the difficulty of real-time monitoring across large coverage areas.
2Difficulty of detecting and measuring
If image analysis is used to detect moving objects, then object detection capability improves, but it becomes difficult to detect abnormal situations and false detections increase
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple types of abnormal situations (e.g., unauthorized access, fire, natural disasters) and their corresponding detection criteria before deployment. The system then compares real-time image analysis results against these predefined patterns, enabling more reliable abnormal situation detection while reducing false alarms caused by undefined or ambiguous detection rules.
3Difficulty of detecting and measuring
If sound source analysis is performed to identify abnormal sounds, then detection capability improves, but it becomes difficult to determine whether the sound source is from the image or outside
Solution Approach 1:
The patent merges sound source analysis with image analysis by integrating the results from both modalities. When an abnormal sound is detected, the system simultaneously analyzes the corresponding image data to determine whether the sound source is visible within the image frame or originates from outside. This combination of auditory and visual information preserves complete location information and enables comprehensive abnormal situation identification.
Data Source
AI summary
An image monitoring system including a surveillance camera is provided. The surveillance camera includes: an image analyzer configured to analyze an input image; a sound source analyzer configured to analyze a sound source in the image or a sound source that is input separately; and a determiner configured to determine whether an abnormal image and an abnormal sound source exist, and when the abnormal image and the abnormal sound source are obtained, according to a result of the image analysis and the sound source analysis, to generate metadata and alarm information based on a result of the determination, wherein the abnormal image and the abnormal sound source are predefined.