Event Storage Device with Variable Event Detection Conditions
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Solution Overview
Problem
Surveillance systems face challenges in efficiently retrieving specific events from large datasets and managing excessive or insufficient event alarms due to fixed reference values for event detection, leading to prolonged search times and inappropriate alarm frequencies.
Innovation Solution
A device and method for storing and searching events based on an event level, allowing for adjustable alarm frequencies and user-defined interest levels, enabling efficient retrieval of events and tailored alarm settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If images are stored according to whether an event has occurred, then event retrieval is possible, but the user must sequentially view stored images which increases search time
Solution Approach 1:
The system performs preliminary video analytics processing during image storage to extract and store event attributes (motion amount, luminance change, object type) alongside images. This preliminary action enables rapid event retrieval without sequential viewing, resolving the contradiction between accurate event detection and reduced search time.
2Ease of operation
If event related information is listed in order of event occurrence time, then all events can be viewed sequentially, but it becomes difficult to identify important events when there are too many events
Solution Approach 1:
The system segments events into different categories based on extracted attributes (motion amount levels, object types, luminance changes) and presents them in organized groups rather than a single chronological list. This segmentation helps users quickly identify important events by category and significance, resolving the contradiction between viewing convenience and information preservation.
3Device complexity
If a fixed reference value is used for event alarm detection, then alarm generation is simple, but excessive or insufficient alarms occur making it impossible to ensure appropriateness of alarm frequency
Solution Approach 1:
The system dynamically adjusts the reference value for event alarm detection based on extracted event attributes such as motion amount, object type, and luminance change. Instead of using a fixed threshold, the reference value adapts to the specific characteristics of each event scenario, ensuring appropriate alarm frequency while maintaining reasonable system complexity.
4Loss of time
If video analytics are performed to shorten event search time, then retrieval speed improves, but the amount of processing increases
Solution Approach 1:
The system extracts only the most relevant event attributes (motion amount, luminance change, object type) from video analytics processing and stores them for quick retrieval. By taking out only the essential information needed for event identification rather than processing or storing all video data, the system reduces processing energy consumption while maintaining fast retrieval capability.
Data Source
AI summary
Provided are an event storage device, an event search device, and an event alarm device for an event occurring in a surveillance area. The event storage device includes a processor and a memory and its operation is controlled by the processor. The processor is configured to receive images captured in a surveillance area, detect an event generated in the surveillance area, storing, in the memory, an image related to the event, among the captured images, and storing an event level of the detected event along with the stored image.