Wearable Camera Automatic Recording via Sound Matching
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Solution Overview
Problem
Existing wearable camera systems for police officers require manual operation to start recording, which can lead to missed evidence in emergency situations, hindering incident resolution and evidence presentation in court.
Innovation Solution
A wearable camera system that automatically starts recording when specific sounds, such as gunshots or falls, are detected by a microphone and matched with pre-registered audio data, ensuring continuous video capture without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual recording operation is required, then recording can be controlled by user, but recording may be missed in emergency situations
Solution Approach 1:
The system performs preliminary action by pre-registering specific sound patterns (gunshots, falls, alarms) in the storage unit before actual use. When these pre-registered sounds are detected by the microphone, the controller automatically initiates recording without requiring manual operation, thus ensuring reliable recording in emergencies while maintaining simple operation
Solution Approach 2:
The wearable camera system performs self-service by automatically detecting specific sounds through its built-in microphone, comparing them with pre-registered patterns in storage, and autonomously initiating recording through the controller. This self-automatic functionality eliminates the need for manual user operation while ensuring reliable recording capture
2Reliability
If automatic recording starts on sound detection, then recording reliability improves, but device complexity increases
Solution Approach 1:
The controller serves multiple functions: it manages normal recording operations, processes sound detection from the microphone, compares detected sounds with pre-registered patterns in storage, and automatically initiates recording when matches are found. This multi-functionality reduces the need for separate dedicated components, thereby limiting device complexity while achieving automatic sound-triggered recording
Solution Approach 2:
The system merges the sound detection function, pattern recognition function, and recording control function into an integrated architecture. The microphone, storage unit with pre-registered patterns, and controller work as a unified system where the controller handles both automatic sound-triggered recording and manual recording operations, thus achieving reliable automatic recording without proportionally increasing overall system complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively prevents missed recordings during emergencies, providing reliable evidence and enabling quicker incident response and resolution by automatically initiating video capture when predefined sounds are detected.
Implementation Method 1
a microphone that collects sounds
Data Source
AI summary
Provided is a wearable camera including a capture that captures a subject; a recorder that records a video of the captured subject; a storage that stores a predetermined sound beforehand; a microphone that collects sounds; and a controller that starts record of the video of the subject captured by the capture in a case where the sounds collected by the microphone and the sound stored in the storage are collated with each other, and the collected sounds and the stored sound match with each other.