Camera Image Stabilization Apparatus External Vibration Signal Validation
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Solution Overview
Problem
Existing image stabilization systems for cameras face challenges in effectively using vibration signals from external devices without noise interference, particularly when these signals have varying noise levels, which can cause fluctuations in the anti-vibration lens even in non-vibration states.
Innovation Solution
An image stabilization apparatus that includes a vibration signal acquisition unit, a validation unit, and a noise removal unit, allowing it to acquire and validate vibration signals from external devices, and set appropriate noise cut-off frequencies to ensure stable image stabilization, even when using signals from external sources like tripods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vibration signals from external devices are used for image stabilization, then the effectiveness of image stabilization can be improved, but noise interference causes fluctuations in the anti-vibration lens even in non-vibration states
Solution Approach 1:
The system performs preliminary actions by acquiring vibration signals from external devices and validating them before using them for image stabilization. The validation process checks signal quality and noise levels in advance, ensuring that only reliable signals are used to control the anti-vibration lens, thereby preventing noise-induced fluctuations.
Solution Approach 2:
A signal validation mechanism acts as an intermediary between the external vibration signal source and the image stabilization control system. This intermediary validates the incoming signals, filtering out noise and ensuring signal quality before the signals are used to drive the anti-vibration lens, thus resolving the contradiction between utilizing external signals and avoiding noise interference.
2Adaptability or versatility
If vibration signals from external devices are acquired and used, then more vibration information can be utilized for stabilization, but the system complexity increases due to validation and noise removal requirements
Solution Approach 1:
The validation mechanism is designed to be universal and multi-functional, handling various types of vibration signals from different external devices (tripods, camera platforms, etc.) through a single integrated validation and noise removal system. This approach increases adaptability while managing system complexity through consolidation rather than proliferation of separate processing paths.
3Measurement precision
If the vibration detection sensor is installed in the mount board to detect mount board vibration, then the vibration detection can be performed at the source, but the sensor signal includes effects of panning/tilting operations that must be eliminated
Solution Approach 1:
The system extracts pure vibration signals from the composite sensor output by separating and eliminating the components related to panning and tilting operations. The validation mechanism identifies and removes these unwanted signal components, leaving only the true vibration information needed for image stabilization, thus achieving precise vibration detection without signal contamination.
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
Enables effective image stabilization using vibration signals from external devices while minimizing noise interference, ensuring the anti-vibration lens operates correctly without fluctuations in non-vibration states, thus improving the reliability of image stabilization systems.
Implementation Method 1
an angular velocity sensor, which detects vibration of the imaging optical system
Implementation Method 2
the angular velocity signal is passed through a low-pass filter so that signals of high frequency components are removed
Data Source
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AI summary
An image stabilization apparatus being mounted on a lens device of a television camera includes an angular velocity sensor, a HPF, a LPF, an A/D converter, a CPU, a D/A converter, a motor driving circuit, a motor, and an anti-vibration lens. The CPU acquires a sensor signal output from the angular velocity sensor, and performs image stabilization based on the angular velocity signal by driving the anti-vibration lens. The image stabilization apparatus has a connector for acquiring a vibration signal being output from a tripod for supporting the television camera. The CPU may acquire the vibration signal received from the connector through the HPF, the LPF, and the A/D converter, and perform the image stabilization based on the vibration signal by driving the anti-vibration lens. Whether the image stabilization is performed based on the sensor signal or the vibration signal can be selected with a changing-over switch.