OTHERS

Food quality control / Air pollution detection / Forensic science

Potential applications of the technology

Food Quality

Food quality management

Foreign material detection and quality inspection in factories.
In recent years, food safety problems have emerged in an endless stream, and the public also have concerns over food quality. With the advancement of technology, we are now capable of managing food with a higher standard to ensure the safety.

One of the technologies that has great potential in food inspection is hyperspectral imaging, which has the advantages of nano-level spectral resolution，and the ability of providing detailed information of each band that can quickly reveal food quality.。

  • A
  • B
  • C

Spectral analysis of food

It can effectively inspect solid, liquid, and gas samples

Rapid / non-destructive

  • Rapid test
  • Instant result
  • Non-destructive testing
  • Highly sensitive
The main components of food are protein, lipid, carbohydrate, water, microelement etc. General methods of proteins analysis like high-performance liquid chromatography, X-ray diffraction, mass spectrometry, and spectrophotometry have drawbacks such as cumbersome procedures and destructive testing. By applying hyperspectral imaging in food inspection, we can not only avoid these problems, but also gain advantages like rapid testing, no preparation needed, non-destructive testing and highly sensitive.

Our hyperspectral imaging can effectively analyze solid, liquid and gas samples. By analyzing the information of the spectrum, we can classify food information while inspecting them, effectively establish a standard of the food. In addition, we can also estimate the quantity of certain components of the food.

The benefits of food analysis

Estimate the shape, color, scars, tenderness and pest of crops

Speed up quality control inspections

In terms of food analysis, hyperspectral imaging is used to control quality, grade the material and test pesticide residues. Factors such as the shape, color, scars, tenderness, disease and insect pest of crops are estimated and further classified as organic, green, pollution-free, ordinary and other food types. By establishing clear standards, the food safety can be guaranteed and the inspection process can be fast.

Application

Visualize food components for safety assessments

  • Fine classification
    Fine classification
  • Food safety
    Food safety
  • Quality assurance
    Quality assurance

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Through customized solutions, food can be effectively inspected and graded. Please contact us for more information.
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Air Quality

Air pollution detection

Analysis of combustion, smoke and vaporized gases.
"Air" is indispensable to organisms. Polluted air not only causes physical and mental illness, but also harms the entire ecological environment. How to keep air pollution under control has become one of the vital issues.

In order to cope with air quality deterioration, the government and other relevant agencies have built an air quality monitoring network, which established the “standard grading scale” of the main pollutants and concentrations in the air, so the "air quality index (AQI)" (Note 1) is provided to the public, reminding everyone of the harmfulness and the importance of doing our part to protect the environment.

Health effects Good Moderate Unhealthy for sensitive groups Unhealthy Very unhealthy Hazardous
AQI
Color
0~50
51~100
101~150
151~200
201~300
301~500
Color

The air quality index provides six indicators according to the health effects of the air pollution: Good, Moderate, Unhealthy for sensitive groups, Unhealthy, Very unhealthy, Hazardous.

Note 1, reference from Environmental Protection Administration Executive Yuan, R.O.C. (Taiwan)

Simple explanation of the technology

Common air pollution detection methods are often expensive and with limited space.

Our hyperspectral imaging can provide the spectrum of each pixel in the image. When the technology combines with a UAV, it will be given the advantages of long-distance large-area monitoring, without geographical restrictions, and greatly reduce the cost caused by equipment.

Various substances have different energy absorption of sunlight, to build a spectral database of such specific data can enable the identification of the air pollutants throughout images and achieve the purpose of air pollution detection. For example: the distribution and concentration of suspended particulates (PM10), fine suspended particulates (PM2.5), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO).


An image captured by a UAV combined with hyperspectral image identification system.

After identification, display the distribution of air pollution.

Forensic Science

Forensic identification

There can be no secrets under hyperspectral detection.
  • Bullet
  • Document
  • Fingerprint
  • Tool Mark
  • Imprint
  • Voiceprint
  • Image Identification
  • Trace Evidence
Forensic Science has evolved from simple comparisons of size, shape, and mold in ancient times to where any tiny clue matters. The “physical identification” of modern forensic science is using non-destructive and non-chemical methods to identify non-biological evidences.

Examples of bullets, documents, fingerprints, tool marks, imprints, voiceprints, images and trace evidences belong to this category.

"Hyperspectral imaging technology" captures images under different wavelengths of light, revealing various traces that cannot be recognized by the naked eye. Such as handwriting alteration, blood stains at different times, gunpowder residue, shoe prints, tire prints, etc. all require changes in light source to be seen. Further, the spectrum can also be used for fast object comparison.

Forensic image analysis

Reveal traces invisible to naked eye


Word alteration

Word recovery

Blood stain analysis

The shape of the shoe prints and blood stains are revealed under ultraviolet light

Fingerprints

gunpowder residue