3D Imaging Exposure Adjustment for Effective Pixel Count
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Solution Overview
Problem
Existing three-dimensional imaging devices face inefficiencies in acquiring distance images with sufficient effective pixel counts, leading to prolonged measurement times due to exhaustive switching of exposure conditions.
Innovation Solution
A three-dimensional imaging device with a distance image acquiring unit, an effective pixel count calculation unit, an ineffective pixel identifying unit, and an exposure condition adjusting unit that sets and adjusts exposure conditions to maximize the total effective pixel count by iteratively combining distance images under different conditions until the threshold is met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If exhaustive switching of exposure conditions is performed to acquire distance images with sufficient effective pixel counts, then the effective pixel count increases, but the measurement time increases
Solution Approach 1:
The system performs preliminary evaluation of multiple exposure conditions before actual measurement, identifying which conditions will yield effective pixels. This preliminary action allows the system to pre-determine the optimal set of exposure conditions, avoiding exhaustive switching during actual measurement and thus reducing measurement time while ensuring sufficient effective pixel count
Solution Approach 2:
The system dynamically adjusts the set of exposure conditions based on the characteristics of the measurement object. By evaluating effective pixel counts under different exposure conditions and adaptively selecting the optimal combination, the system optimizes the balance between effective pixel count and measurement time for each specific measurement scenario
2Measurement precision
If multiple exposure conditions are switched to maximize effective pixel count, then the effective pixel count increases, but the imaging process complexity increases
Solution Approach 1:
The system incorporates feedback mechanisms where the effective pixel count is evaluated for each exposure condition, and this information is used to determine whether to switch to additional exposure conditions. The feedback loop enables intelligent decision-making about when to switch conditions, simplifying the control process while ensuring optimal effective pixel count
Solution Approach 2:
The system automatically evaluates and determines the optimal exposure conditions without requiring manual intervention or complex external control. The imaging device self-adjusts by comparing effective pixel counts and autonomously deciding when to switch exposure conditions, reducing the perceived complexity for the user
Data Source
AI summary
A three-dimensional imaging device includes a distance image acquiring unit configured to acquire distance images by switching exposure conditions; an effective pixel count calculation unit that calculates an effective pixel count; an ineffective pixel identifying unit that identifies ineffective pixels; and an exposure condition adjusting unit that sets the exposure conditions. The exposure condition adjusting unit sets a reference exposure condition, determines whether a reference effective pixel count is equal to or less than a first threshold value, and, in response to the reference effective pixel count being equal to or less than the first threshold value, sets an additional exposure condition that maximizes a total effective pixel count of a total distance image, and repeats additional setting of the additional exposure condition using the total distance image as a new reference distance image until the total effective pixel count becomes larger than the first threshold value.