Camera Face Detection Shutter Triggering
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Solution Overview
Problem
Conventional camera devices face challenges in allowing shutter operations at desired timings, particularly when using self-timer functions or remote shutter controls, as they often result in timing constraints and potential missed shots due to user preparation delays.
Innovation Solution
A camera device with a remote image-capture mode that utilizes face detection and registration to automatically trigger the shutter when a registered user enters and positions themselves within the frame, eliminating the need for a remote control and enabling photography at desired moments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If self-timer function is used for automatic image capture, then image capture can be performed without manual intervention, but timing constraints occur and shutter may click before user preparation is complete
Solution Approach 1:
The system uses face detection technology to automatically identify when the user is positioned in the frame, eliminating the need for manual timer setting. The camera performs self-service by detecting the user's presence and automatically triggering capture at the optimal moment, resolving the timing constraint issue of traditional self-timers.
Solution Approach 2:
The system continuously monitors the frame for user presence and provides real-time feedback through display indicators showing capture readiness. This feedback mechanism allows the user to know when they are properly positioned, eliminating the uncertainty and timing anxiety associated with traditional self-timers.
2Ease of operation
If remote control is used for shutter operation, then shutter can be clicked at desired timing, but additional device complexity is introduced
Solution Approach 1:
The system extracts the remote control function from a separate physical device and integrates it into the camera itself through face detection technology. The camera now possesses the capability to detect user presence and trigger capture automatically, eliminating the need for an external remote control device while maintaining the benefit of on-demand capture timing.
Solution Approach 2:
The camera system performs multiple functions: it captures images, detects faces, determines user presence, and controls capture timing all in one integrated system. This multi-functionality replaces what previously required separate devices (camera + remote control) and simplifies the overall system architecture.
3Productivity
If face detection is used to trigger shutter automatically, then capture timing is optimized, but measurement precision requirements increase
Solution Approach 1:
The system uses a two-stage detection approach: first detecting any face presence to determine general readiness, then using more precise face recognition only when needed for final capture confirmation. This partial application of high-precision detection reduces overall computational requirements while maintaining capture timing accuracy.
Solution Approach 2:
The system performs preliminary face detection to determine user presence and prepares the capture state in advance. By detecting face presence early and providing feedback, the system reduces the precision requirements for the final capture moment, as the high-precision detection is only needed briefly when the user is already positioned and ready.
Data Source
AI summary
A portable telephone is provided with a camera module (13) for outputting a captured image as image information, a memory (105) for storing the image information, a face registration unit (504) for holding information relating to a face image, a face extraction unit (501), a face parameter extraction unit (502), and a matching determination unit (505) which serve as the configuration for detecting the face image held in the face registration unit (504) from the captured image, and an image-capturing control unit (506) for executing control processing for image capturing. The image-capturing control unit (506) stores the image information in the memory (105) on the basis of the fact that after the face image held in the face registration unit (504) is detected, the face image becomes undetected, and the face image is then detected again.