Plane Spectrometer Object Detection with NIR Analysis

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Conventional object detection apparatuses face high costs due to the need for movable mechanisms and cameras, and limited installation space due to the requirement of multiple spectroscopes, while plane spectrometers offer lower resolution and are difficult to use in-line.

Innovation Solution

A plane spectrometer-based apparatus that uses near-infrared radiation, a conveying mechanism, a plane spectrometer for spectroscopy, a near-infrared camera for imaging, and advanced data processing techniques like wavelength axis averaging, interpolation, and main component analysis to achieve high resolution and efficient object detection across multiple lines.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a point spectrometer with movable mechanism (galvo-mirror) is used to perform spectroscopic analysis for objects conveyed in multiple lines, then spectroscopic analysis can be performed, but the apparatus cost runs up due to requiring movable mechanism, camera for confirming object position, and image processing apparatus

Engineering Contradiction:
Improvespectroscopic analysis capabilityVSAvoidapparatus cost
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the detection task into multiple fixed spectroscopes, each dedicated to a specific conveyor line. This segmentation eliminates the need for a single complex movable spectrometer system, reducing overall apparatus cost while maintaining spectroscopic analysis capability across multiple lines.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Instead of using one expensive movable spectrometer that needs cameras and image processing, the patent creates multiple simpler fixed spectroscope copies, one for each line. This copying approach eliminates the need for expensive auxiliary equipment like galvo-mirrors and position confirmation cameras.

Inventive Principle:
Principle #26Copying

2Measurement precision

If spectroscopes for the number of lines of objects to be conveyed in multiple lines are used without utilizing movable mechanism, then spectroscopic analysis can be performed, but installation space becomes extremely large

Engineering Contradiction:
Improvespectroscopic analysis capabilityVSAvoidinstallation space
Core Design Contradiction:
Measurement precisionVSArea of stationary object

Solution Approach 1:

The patent merges multiple detection functions into a single integrated detection unit that can handle multiple lines. By combining the spectroscopic analysis capability with direct line assignment and eliminating the need for separate position confirmation cameras and image processing equipment, the installation space is significantly reduced.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent replaces the mechanical movable spectrometer system with a fixed optical system that directly observes objects on the conveyor. This substitution eliminates the need for complex mechanical positioning mechanisms and associated space requirements.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If a plane spectrometer is used to perform plane spectroscopy simultaneously, then spectroscopy for multiple points can be performed, but resolution performance is one tenth in comparison with point spectroscopy making it hard to use in line

Engineering Contradiction:
Improvesimultaneous multi-point spectroscopyVSAvoidspectroscopic resolution
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent segments the spectroscopic analysis into line-specific tasks, with each fixed spectroscope dedicated to analyzing objects on a specific conveyor line. This segmentation allows each spectroscope to maintain high resolution performance while the system as a whole achieves high productivity through parallel processing of multiple lines.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the operational parameters by using fixed spectroscopes optimized for high-resolution spectroscopic analysis on each line, rather than using a plane spectrometer with lower resolution. This parameter change maintains measurement precision while achieving simultaneous multi-point spectroscopy through parallel fixed systems.

Inventive Principle:
Principle #35Parameter changes

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 solution provides high-resolution object detection with improved space efficiency, enabling stable component analysis across multiple lines and easy integration into various conveying paths, while reducing computational load and detecting abnormalities like missing objects or irregular shapes.

Implementation Method 1

a irradiating means for radiating near-infrared rays to the plurality of objects to be conveyed by means of the conveying means

Methodology Applied
Scientific EffectNear-infrared radiation: Infrared Radiation

Implementation Method 2

a plane spectrometer that performs plane spectroscopy for a reflected light of the near-infrared rays reflected from the plurality of objects

Methodology Applied
Scientific EffectSpectroscopy: Absorption Spectroscopy

Data Source

PatentUS7812948B2Different-kind-of-object detector employing plane spectrometer
Publication Date: 2010.10.12 ASTELLAS PHARMA INC
  • US7812948B2 patent drawing
  • US7812948B2 patent drawing
  • US7812948B2 patent drawing

AI summary

A detector for detecting a different kind of object among objects being carried with high resolution using a plane spectrometer irradiates near-infrared ray and performs plane spectroscopy for a reflected light. The detector also detects spectral data of the reflected light and performs preprocessing for averaging and standardizing the spectral data. Then wavelength axis averaging, Lagrangian interpolation and spatial axis averaging are performed. Conversion of first-order/second-order differentiation, smoothing and calculation of the main component score on the basis of previously obtained loading vector data is also performed. Then performing judgment of a different kind of object is performed.