Multispectral Imaging Exposure Control for Plant Sensing

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Solution Overview

Problem

In plant sensing, inappropriate imaging settings, such as overexposure and use of unsuitable wavelengths, lead to ineffective sensing, as the imaging conditions and target-specific wavelengths are not adequately accounted for in existing technologies.

Innovation Solution

An imaging apparatus and method featuring a multispectral imaging unit with pixels of different spectral characteristics, coupled with an exposure control unit that sets optimal exposure settings based on specification information for the measurement target, including predicted output values from spectral characteristics, to prevent overexposure and ensure accurate imaging across multiple wavelengths.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If imaging is performed with fixed exposure settings, then the imaging process is simple, but overexposure occurs and sensing accuracy deteriorates

Engineering Contradiction:
Improvesensing accuracyVSAvoidimaging control complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The exposure control unit pre-calculates appropriate exposure settings for each pixel based on its spectral characteristics and the measurement target's spectral properties before imaging occurs. This preliminary calculation of exposure parameters prevents overexposure and ensures accurate sensing without requiring complex real-time adjustments during imaging

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts exposure parameters (such as exposure time or gain) for each pixel based on its specific spectral characteristics and the predicted output values. By changing these parameters adaptively rather than using fixed settings, the system achieves high sensing accuracy across multiple pixels with different spectral responses

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If a single wavelength is used for imaging, then the imaging system is simple, but the plant cannot be appropriately sensed

Engineering Contradiction:
Improveplant sensing accuracyVSAvoidimaging system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The imaging unit incorporates multiple pixels with different spectral characteristics within a single device, enabling it to capture information across multiple wavelengths simultaneously. This multi-functional approach allows the system to sense plant properties that require specific wavelength responses without needing separate imaging devices for each wavelength

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

Each pixel in the imaging unit is designed with specific spectral characteristics tailored to detect particular wavelengths relevant to plant sensing. By assigning different spectral properties to different pixels, the system achieves high measurement precision for plant parameters while maintaining a unified imaging device structure

Inventive Principle:
Principle #3Local quality

3Measurement precision

If exposure settings are not optimized for the measurement target, then the imaging process is simple, but overexposure occurs and sensing becomes ineffective

Engineering Contradiction:
Improvesensing effectivenessVSAvoidimaging settings complexity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The exposure control unit automatically determines appropriate exposure settings by analyzing the spectral characteristics of the measurement target and calculating predicted output values for each pixel. The system performs self-adjustment of exposure parameters without requiring manual intervention, ensuring effective sensing while simplifying operation

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses the spectral characteristics of the measurement target and predicted output values from each pixel to feedback-adjust exposure settings. This closed-loop approach ensures that exposure parameters are continuously optimized for the current imaging conditions, preventing overexposure and maintaining high sensing effectiveness

Inventive Principle:
Principle #23Feedback

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 appropriate imaging settings and effective sensing by preventing overexposure and optimizing exposure based on the measurement target's spectral characteristics, allowing for accurate imaging across various wavelengths, thereby improving the sensing of plants and other objects.

Implementation Method 1

an imaging unit including a plurality of pixels having different spectral characteristics

Methodology Applied
Scientific EffectSpectral characteristics of pixels: Absorption Spectroscopy

Data Source

PatentUS11570371B2Imaging apparatus, imaging method, and program
Publication Date: 2023.01.31 SONY GROUP CORP
  • US11570371B2 patent drawing
  • US11570371B2 patent drawing
  • US11570371B2 patent drawing

AI summary

The present technology relates to an imaging apparatus, an imaging method, and a program that perform appropriate exposure control, to thereby enable a desired object to be appropriately imaged.The present technology includes: an imaging unit including a plurality of pixels having different spectral characteristics; and an exposure control unit setting information associated with exposure control on the plurality of pixels depending on specification information for specifying a kind of a measurement target. Alternatively, the present technology includes: an imaging unit including a plurality of pixels having different spectral characteristics; and an exposure control unit setting information associated with exposure control on the plurality of pixels on the basis of a predicted output value of each of the plurality of pixels based on a spectral characteristic related to a measurement target. The present technology is applicable to an imaging apparatus which senses vegetation, for example.