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Hyperspectral Vision Introduction

Explore the background of Hyperspectral Vision and discover application ideas

Spectroscopy introduction

DIVE into the spectroscopy basics behind DIVE's pioneering technology.

spectroscopy
reflection
absorption
grating

Hyperspectral Vision White Paper

Comprehending the invisible

Product data sheets

Learn more about DIVE's unique product line-up!

Spectroscopy basics

Hyperspectral Vision Basics

Deep dive into the backgrounds of Hyperspectral Vision

Hyperspectral Vision Applications

Get first insights how Hyperspectral Vision match the scopes

Slot-Die Coating of Aluminum oxide layers

Scientific paper, published 2016

visual inspection
spectral imaging
hyperspectral imaging
hyperspectral vision
machine learning
partial least squares regression
slot-die coating
aluminum oxide
battery technology
VA-SWCNT

Roll-to-roll laser scribing of OPV

Scientific paper, published 2017

organic photovoltaics
barrier layer
damage-free
short pulsed laser micromachining
hyperspectral imaging
hyperspectral vision
roll-to-roll
machine learning

Laser Excitation for Raman and Fluorescence Imaging

Scientific paper, published 2018

hyperspectral vision
hyperspectral imaging
RAMAN
fluorescence
sorting
quality control
black polymers
PZT
classification
machine learning

Fluorescence Imaging and Machine Learning

Scientific paper, published 2019

hyperspectral imaging
machine learning
hyperspectral vision
black plastic
classification
recycling
fluorescence imaging
deep learning

Prediction of Coating Adhesion using Hyperspectral Imaging

Scientific paper, published 2021

coating adhesion
hyperspectral imaging
hyperspectral vision
battery cells
machine learning
AI
prediction

1 - Fundamentals

2 - Instrumentation

3 - Data handling

4 - Summary

Hyperspectral Imaging for the Quantification of Organic Contaminants

Scientific paper, published 2021

spectral imaging
hyperspectral imaging
hyperspectral vision
HSI
XPS
AES
multivariate analysis
machine learning
elsatic net
RF
SVM
organic residues
cleaning after soldering
cleanliness

Prediction of the Quality of Thermally Sprayed Copper Coatings on Laser-Structured CFRP Surfaces Using Hyperspectral Imaging

Scientific paper, published 2022

laser structering
hyperspectral imaging
surface pre-treatment
caoting quality prediction
machine learning
automation
metal-plastic hybrid
lightweight
hyperspectral vision

Towards inline real-time characterization

Scientific paper, published 2023

hyperspectral imaging
x-ray reflectivity
machine learning
thickness prediction
thin films
hyperspectral vision

nanoQI project reports

03/2020 - 08/2023; Multimodal X-ray and Hyperspectral Thin-Film Nano-material Evaluation and Quality Imaging; grant agreement ID: 862055

hyperspectral vision
machine learning
hyperspectral imaging
X-ray
thin films
nanomaterial evaluation
quality imaging

VEpioneer® series

World’s first fully integrated one-button bench-top Hyperspectral Vision system

VEreveal®

Hyperspectral Vision Module for flexible production tasks

VEsolve®

Discover DIVE's unique Hyperspectral Vision software

Introduction

1 - Fundamentals

One of the founding fathers of spectroscopy is Issac Newton, who observed the color series using a prism and sunlight1 - he called this color series 'spectrum' (Latin for 'appearance'). Many well-known researchers continued these observations over the decades ...

Optical Spectroscopy

1 - Fundamentals

Optical spectroscopy' refers to vibrational spectroscopy and electron excitation spectroscopy. They can be performed using typical optical components such as mirrors, lenses, gratings and prisms. Optical spectroscopy includes the techniques of: Infrared spe...

Interaction of light and matter

1 - Fundamentals

Matter can reflect or absorb electromagnetic radiation or the radiation can pass through the matter with little or no interaction. In the latter case, this is referred to as transmission.  The three basic principles of the interaction of light and matter If ...

The spectrum

1 - Fundamentals

All methods of optical spectroscopy have in common that absorption and emission are based on the quantum physical nature of light, i.e. the spectra obtained show discrete energy levels of electronic excitation or vibrational excitation. All observed energy lev...

Theory of electron and vibrational excitation

1 - Fundamentals

UV and VIS spectroscopy is based on the excitation of electrons in the outer electron shell (orbital) of an atom or molecule. The energy input of the excitation radiation transfers electrons from the highest occupied orbital - the ground state - to the lowest ...

Optical dispersion

2 - Instrumentation

The essential component to obtain the spectrum at all is the 'dispersive element' or the 'dispersive unit'.7  If the dispersive element is additionally coupled with a slit to select a single wavelength, it is also referred to as a monochromator.  Fundamental ...

Measurement arrangements

2 - Instrumentation

The beam path of optical spectrometers is always based on the same principles. The radiation first passes through a monochromator, then the sample and is then recorded by the detector. Due to the scanning process of the monochromator through the spectral range...

Methods in optical spectroscopy

2 - Instrumentation

UV-VIS Spectroscopy For UV-VIS spectroscopy, a wide range of possible combinations of excitation source, optics, measuring geometry and sample chamber as well as detectors are available, which can be specifically selected depending on requirements. If, for ex...

Process spectroscopy

2 - Instrumentation

Process spectroscopy has been firmly established in the industrial environment for many decades. The resulting spectral data is subject to automated evaluation procedures/methods. These automated methods monitor the process, the medium or the product. They con...

Imaging spectroscopy

2 - Instrumentation

Imaging spectroscopy is an umbrella term for all techniques and possibilities for recording spectra that produce an image of a sample or measurement surface. It is a powerful tool for visualizing the relationships between the observed process and the propertie...

Referencing

3 - Data handling

The referencing of spectra is one of the most important steps in the pre-processing of spectra, as the aim is to measure precisely and correctly. Once spectra have been recorded in insufficient quality or incorrectly referenced, improvement is not possible eve...

Machine learning and AI

3 - Data handling

The multivariate methods of chemometrics - often also referred to as data mining, machine learning or deep learning/AI - offer the possibility of making superimposed and hidden information visible in the spectra. When using machine learning or AI methods, prec...

Summary of optical spectroscopy methods

4 - Summary

The choice of an optical spectroscopy technique, the measurement setup and the recording of the spectra must be carefully considered, and the following overviews are intended to provide an initial starting point.   Electron excitation Vibrat...

Introduction

Hyperspectral Vision Basics

Modern industrial processes require ever-improving optical inspection for the in-process evaluation and assessment of products. Over the past two decades, optical non-contact technologies have been developed which, under the collective term 'machine vision', h...

Sensors and spectral ranges

Hyperspectral Vision Basics

In order to obtain a spectral dispersion, different spectrometer concepts are used for spectral imaging. Multispectral imaging: Multi-sensor: beam splitter and use of filters for several sensors; usually <10 spectral channels Multi-channel: spectral dis...

Spatial resolution and working distance

Hyperspectral Vision Basics

The optics/lenses of most HSI systems are variable, e.g. via the industry standard C-mount. This results in a wide range of configuration options, as illustrated in Fig. 3. The minimum working width of the HSI system is determined by the focal plane of the len...

Excitation and sample motion

Hyperspectral Vision Basics

As with other spectral methods, hyperspectral imaging involves an interaction (absorption, reflection) of the light with the sample. For this reason, broadband sources are preferred for illumination. For the spectral ranges mentioned, these are, for example, h...

Data acquisition and preprocessing

Hyperspectral Vision Basics

One of the most important tasks in preparation for data acquisition is to focus the object under investigation. The wavelength at which the detector has the highest sensitivity or quantum efficiency should initially be selected as the focal point. With known s...

Machine learning methods and data evaluation

Hyperspectral Vision Basics

If a contextualization into a larger sample (or spectra) population is required or if correlations are to be examined that are not visible at first glance in individual samples, a machine learning approach respectively a mathematical-statistical evaluation of ...

Soft modeling vs. hard modeling

Hyperspectral Vision Basics

In contrast to the machine learning methods of the 'soft modeling' approach, there is also the 'hard modeling' approach for evaluating the spectra. This refers to the physically exact description of the data. The simplest case is Lambert-Beer's law for describ...