Wearable Video Recorder Trigger Event Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing recording devices struggle to capture spontaneous events effectively, as they often require manual operation and may not be positioned correctly or run out of recording media, leading to missed moments and inefficient review of unattended recordings.
Innovation Solution
A wearable video recording device equipped with a digital video recording component, processor, and memory, which can detect trigger events and implement a protocol to preserve significant video segments, allowing for continuous recording and efficient storage of spontaneous events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the recording device is left on continuously at a fixed location to capture spontaneous events, then the coverage of spontaneous events is improved, but the recording media consumption increases and the device may not be in the right location when events occur
Solution Approach 1:
The continuous recording stream is segmented into discrete video segments based on trigger event detection. The processor divides the recording into segments separated by trigger events, allowing the device to retain only relevant portions (segments containing trigger events) while discarding or overwriting non-significant segments, thus reducing overall media consumption while maintaining capture effectiveness.
Solution Approach 2:
The device performs preliminary actions by continuously recording video segments and monitoring for trigger events before the actual significant event occurs. This allows the system to be ready and positioned correctly when spontaneous events happen, capturing them effectively without requiring manual intervention or waiting for media to be consumed.
2Manufacturing precision
If the recording device is manually operated to capture specific moments, then the positioning accuracy is improved, but the response time to spontaneous events decreases
Solution Approach 1:
The recording device performs self-service by automatically detecting trigger events and managing its own recording operations without manual intervention. The processor monitors for trigger events and controls the recording device to capture moments automatically, eliminating the delay between spotting an event and initiating recording while maintaining accurate positioning through continuous or event-triggered capture.
3Reliability
If large amounts of recording media are used to ensure all events are captured, then the completeness of event recording is improved, but the time needed to manually review recordings increases
Solution Approach 1:
The system extracts and isolates only the relevant portions of recording data - specifically, video segments that contain trigger events. By separating significant content from irrelevant continuous footage, the device reduces the amount of media that needs manual review while maintaining complete capture of all significant events, thus decreasing review time without sacrificing recording completeness.
Solution Approach 2:
The processor provides feedback by monitoring trigger events in real-time and adjusting recording operations accordingly. This feedback mechanism allows the system to identify and preserve only the segments containing significant events, making it easier for users to review only relevant portions rather than entire continuous recordings, thereby reducing review time while maintaining event completeness.
Data Source
AI summary
Methods and systems for managing data storage strategies for continuous video segment recordings on a video recording device are disclosed. The data storage strategies include the detection of various trigger events and ending events detected from the video recordings or measurements detected from sensor devices that are included in the video recording device.