Multi-Camera Event Structuring for Faster Security Video Retrieval
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Solution Overview
Problem
Current home security and automation systems struggle to efficiently present and locate relevant video footage from multiple camera feeds, making it challenging for users to find desired or relevant portions of video data, especially during events like vandalism, due to the lack of cohesive handling and presentation of image data.
Innovation Solution
The system stitches together multiple video clips from different cameras into a single clip, tags the data based on attributes like time stamp, entity, and event, and correlates different image portions to facilitate easy access to relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple camera feeds are monitored simultaneously, then comprehensive security coverage is achieved, but locating and reviewing relevant video footage becomes difficult and time-consuming
Solution Approach 1:
The system segments video footage by creating separate chronological feeds for each camera while maintaining a unified event-based view. This allows users to access comprehensive security coverage through multiple camera feeds while efficiently locating relevant footage by filtering events across all cameras simultaneously, reducing the time needed to find specific incidents.
Solution Approach 2:
The system introduces an intermediary event correlation layer that processes data from multiple cameras and presents unified event information. This intermediary layer correlates events across different camera feeds, allowing users to review relevant footage from multiple cameras through a single coordinated interface rather than manually searching through each feed separately.
2Loss of information
If video footage from multiple cameras is presented separately, then complete event coverage is maintained, but user ability to review all angles simultaneously is reduced
Solution Approach 1:
The system merges video feeds from multiple cameras into a single unified event view that displays all camera angles simultaneously. When an event is detected, the system combines footage from all relevant cameras into one consolidated presentation, allowing users to review complete event coverage while easily viewing all angles in a single interface rather than switching between separate feeds.
Solution Approach 2:
The system adds a temporal and event-based dimension to the presentation of multiple camera feeds. Instead of displaying cameras in simple spatial arrangement, the system organizes feeds by event chronology and correlation, allowing users to view multiple angles simultaneously within a unified event timeline that preserves complete event coverage while enhancing ease of review.
3Loss of information
If all sensor data is collected and stored, then complete data availability is achieved, but efficient retrieval and presentation of relevant data becomes challenging
Solution Approach 1:
The system performs preliminary processing and tagging of sensor data as it is collected, organizing information by event type, timestamp, and camera source. This preliminary action creates a structured data framework that maintains complete data availability while enabling efficient retrieval through pre-organized event-based categories, allowing users to quickly access relevant data without manually searching through all collected information.
Solution Approach 2:
The system replaces manual data retrieval mechanisms with automated event correlation and filtering algorithms. Instead of requiring users to manually search through all sensor data, the system automatically processes, tags, and organizes data by event characteristics, substituting mechanical search processes with intelligent automated retrieval that maintains complete data availability while dramatically improving retrieval efficiency.
Data Source
AI summary
Presented herein are system and methods for handling of sensor data in home security and automation applications to present as a single event multiple portions of the sensor data, and more particularly image data (e.g., clips), captured from a plurality of sensor devices, such as a plurality of image capture devices.