Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Oranges and mandarins are inspected using artificial vision

12.10.2011
Scientists at the Valencian Institute of Agrarian Research (IVIA, Spain) have created a machine that detects and separates rotten oranges, another that classifies mandarin segments according to their quality and another that helps citrus fruit pickers out in the field. All prototypes use computer vision to automatically inspect the fruits.

Until now, rotten oranges have been detected manually in dark rooms with the help of ultraviolet light that illuminates the essential oils in damaged rind through fluorescence. The job is carried out in strictly timed shifts due to the risk that this type of light poses. However, a team of researchers from Valencia have just created a machine that can carry out the task automatically.

José Blasco, researcher at the IVIA and a member of the team that patented the machine explains that "through collaboration with a company within this sector, we have developed software and hardware that can locate rotten citrus fruits and discard of those that are not fit for sale."

This creation is just one of the many agricultural applications developed by these scientists in the last 20 years thanks to advances in artificial vision, a series of techniques that allow for a computer to be programmed so that it "understands" the image it has in front of it and can act accordingly. The results have been published in the Food and Bioprocess Technology journal.

Another of the machines -in the presence of visible light- classifies citrus fruits on the production line according to their quality, colouring and the type of damage that the skin presents. In this way, first class fruits that are destined for more demanding markets can be separated from second class fruits that are perfectly edible despite having some small defect like being bruised or scratched. The analysis is carried out at a speed of 15 to 20 pieces of fruit per second.

Researchers have also developed a device that automates the inspection of ready-to-eat mandarin segments. After being individually separated on a vibrating platform, they are transported on a conveyor belt to the inspection area which is able to examine 28 segments per second. At this stage, the broken segments are separated from the whole segments and the same goes for those with or without pips. Skin and any other foreign bodies are also identified and eliminated from the production line.

Blasco outlines that "as well as developing property statistical and computing techniques, the prototypes use the highest image resolution that modern equipment can achieve. They are capable of analysing objects in regions of the electromagnetic spectrum that the human eye cannot see such as ultraviolet and infrared."

Medical techniques for analysing fruit

"We have even started to inspect the internal quality of fruit using magnetic imaging resonance (MRI), computerized axial tomography (CAT) or X-rays, like those that are used in medicine," he adds. "Although at the moment, these are costly techniques and we must continue in our investigations so as to facilitate their installation and make them more efficient in the fruit selection process."

One of the latest investigations focuses on the use of hyperspectral imaging, which collects and processes information from a large part of the electromagnetic spectrum and provides individual spectral measurements for each pixel. This method can be applied as a way of identifying chemical compounds whose concentrations can change as the fruit ripens or rots. Therefore, it is possible to predict the perfect time to eat the fruit or, indeed, to track the evolution of a disease in the fruit.

The most sizeable of IVIA's projects is a machine that helps during the picking of citrus fruits and it is the size of a large tractor. Blasco highlights that it is a self-propelled prototype capable of classifying oranges whilst still out in the field. As a result, he states that "it is very important that the inspection system is highly efficient from an energy consumption point of view."

Operators pick the fruits and place them on the machine's mobile belt. Quality, colour and the presence of external damage is determined using sensors and a vision system.

The information gathered by the sensors is then transmitted to an automated logic controller in order for the fruit to be classified into the three established categories. Upon arrival at the warehouse, the fruit has already been preclassified and comes with complete statistics on its quality. This allows for it to be valued and its immediate destination can be decided upon.

References:

Sergio Cubero, Nuria Aleixos, Enrique Moltó, Juan Gómez-Sanchis, Jose Blasco. "Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables". Food and Bioprocess Technology 4(4): 487-504, 2011. DOI: 10.1007/s11947-010-0411-8. These investigations are funded by the Spanish National Institute for Agricultural and Food Scientific Research and Technology (INIA) and the Ministry of Science and Innovation (MICINN).

SINC | EurekAlert!
Further information:
http://www.fecyt.es/fecyt/home.do

More articles from Medical Engineering:

nachricht Synapses in 3D: Scientists develop new method to map brain structures
08.11.2019 | Leibniz-Institut für Photonische Technologien e. V.

nachricht The Screw That Dissolves
06.11.2019 | Empa - Eidgenössische Materialprüfungs- und Forschungsanstalt

All articles from Medical Engineering >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: Machine learning microscope adapts lighting to improve diagnosis

Prototype microscope teaches itself the best illumination settings for diagnosing malaria

Engineers at Duke University have developed a microscope that adapts its lighting angles, colors and patterns while teaching itself the optimal...

Im Focus: Small particles, big effects: How graphene nanoparticles improve the resolution of microscopes

Conventional light microscopes cannot distinguish structures when they are separated by a distance smaller than, roughly, the wavelength of light. Superresolution microscopy, developed since the 1980s, lifts this limitation, using fluorescent moieties. Scientists at the Max Planck Institute for Polymer Research have now discovered that graphene nano-molecules can be used to improve this microscopy technique. These graphene nano-molecules offer a number of substantial advantages over the materials previously used, making superresolution microscopy even more versatile.

Microscopy is an important investigation method, in physics, biology, medicine, and many other sciences. However, it has one disadvantage: its resolution is...

Im Focus: Atoms don't like jumping rope

Nanooptical traps are a promising building block for quantum technologies. Austrian and German scientists have now removed an important obstacle to their practical use. They were able to show that a special form of mechanical vibration heats trapped particles in a very short time and knocks them out of the trap.

By controlling individual atoms, quantum properties can be investigated and made usable for technological applications. For about ten years, physicists have...

Im Focus: Images from NJIT's big bear solar observatory peel away layers of a stellar mystery

An international team of scientists, including three researchers from New Jersey Institute of Technology (NJIT), has shed new light on one of the central mysteries of solar physics: how energy from the Sun is transferred to the star's upper atmosphere, heating it to 1 million degrees Fahrenheit and higher in some regions, temperatures that are vastly hotter than the Sun's surface.

With new images from NJIT's Big Bear Solar Observatory (BBSO), the researchers have revealed in groundbreaking, granular detail what appears to be a likely...

Im Focus: New opportunities in additive manufacturing presented

Fraunhofer IFAM Dresden demonstrates manufacturing of copper components

The Fraunhofer Institute for Manufacturing Technology and Advanced Materials IFAM in Dresden has succeeded in using Selective Electron Beam Melting (SEBM) to...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

VideoLinks
Industry & Economy
Event News

First International Conference on Agrophotovoltaics in August 2020

15.11.2019 | Event News

Laser Symposium on Electromobility in Aachen: trends for the mobility revolution

15.11.2019 | Event News

High entropy alloys for hot turbines and tireless metal-forming presses

05.11.2019 | Event News

 
Latest News

Scientists first to develop rapid cell division in marine sponges

21.11.2019 | Life Sciences

First detection of gamma-ray burst afterglow in very-high-energy gamma light

21.11.2019 | Physics and Astronomy

Research team discovers three supermassive black holes at the core of one galaxy

21.11.2019 | Physics and Astronomy

VideoLinks
Science & Research
Overview of more VideoLinks >>>