Featured Research

from universities, journals, and other organizations

Vegetable Scales With A Mind Of Their Own

Date:
August 19, 2008
Source:
Fraunhofer-Gesellschaft
Summary:
What was the number you were supposed to enter for the chili-pepper on the self-service scales? Was it 67 or 76? And the number for the bananas? The latest self-service scales automatically recognize what the customer has placed on them.

The intelligent self-service scales automatically recognize which type of fruit or vegetable has been placed on them.
Credit: Copyright Fraunhofer IITB

What was the number you were supposed to enter for the chili-pepper on the self-service scales? Was it 67 or 76? And the number for the bananas? The latest self-service scales automatically recognize what the customer has placed on them.

Related Articles


A quick stop at the supermarket: Balancing bananas, peppers and tomatoes in your arms, you rush from the vegetable counter to the self-service scales in order to print out the respective price label. But what was that number again, the one you had to enter for the tomatoes?

There will soon be an end to this constant running back and forth between the vegetable counter and the scales. Working on behalf of the industrial weighing company Mettler-Toledo, researchers at the Fraunhofer Institute for Information and Data Processing IITB in Karlsruhe have developed a webcam module for self-service scales. “The scales automatically recognize which fruit or vegetables are to be weighed and ask the customer to choose between only those icons that are relevant – such as tomatoes, vine-ripened tomatoes and beefsteak tomatoes,” states IITB scientist Sascha Voth. Customers can confirm the correct variety on a touch screen.

But how do the scales know whether the customer has placed a pepper, a tomato or a kiwi fruit on them? “The goods are registered by a camera integrated in the scales. An image evaluation algorithm compares the image with stored data and thus automatically recognizes which type of fruit this is,” says Voth. Even the cloudy plastic bags in which the fruit may be packaged at the counter are no problem for the scales – the image evaluation system recognizes the various types of fruit and vegetable anyway.

However, though this initially sounds straightforward, it actually involves a number of challenges: Many types of fruit are a different color depending how ripe they are. Bananas, for instance, range from a uniform green to yellow or even spotted brown. Other types of fruit such as apples and pears come in numerous varieties that can likewise vary widely in color. “The new scales are very tolerant to fluctuations in color and brightness. The module can be employed under many different kinds of illumination and with different kinds of camera. Supermarket employees can of course extend the selection of fruit recognized by the scales to make it include new varieties,” says Voth. The scales are currently being tested in about 300 supermarkets across Europe.


Story Source:

The above story is based on materials provided by Fraunhofer-Gesellschaft. Note: Materials may be edited for content and length.


Cite This Page:

Fraunhofer-Gesellschaft. "Vegetable Scales With A Mind Of Their Own." ScienceDaily. ScienceDaily, 19 August 2008. <www.sciencedaily.com/releases/2008/08/080814091057.htm>.
Fraunhofer-Gesellschaft. (2008, August 19). Vegetable Scales With A Mind Of Their Own. ScienceDaily. Retrieved October 25, 2014 from www.sciencedaily.com/releases/2008/08/080814091057.htm
Fraunhofer-Gesellschaft. "Vegetable Scales With A Mind Of Their Own." ScienceDaily. www.sciencedaily.com/releases/2008/08/080814091057.htm (accessed October 25, 2014).

Share This



More Plants & Animals News

Saturday, October 25, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Deep Sea 'mushroom' Could Be Early Branch on Tree of Life

Deep Sea 'mushroom' Could Be Early Branch on Tree of Life

Reuters - Innovations Video Online (Oct. 24, 2014) Miniature deep sea animals discovered off the Australian coast almost three decades ago are puzzling scientists, who say the organisms have proved impossible to categorise. Academics at the Natural History of Denmark have appealed to the world scientific community for help, saying that further information on Dendrogramma enigmatica and Dendrogramma discoides could answer key evolutionary questions. Jim Drury has more. Video provided by Reuters
Powered by NewsLook.com
Black Bear Cub Goes Sunday Shopping

Black Bear Cub Goes Sunday Shopping

Reuters - Light News Video Online (Oct. 23, 2014) Price check on honey? Bear cub startles Oregon drugstore shoppers. Rough Cut (no reporter narration). Video provided by Reuters
Powered by NewsLook.com
Dances With Wolves in China's Wild West

Dances With Wolves in China's Wild West

AFP (Oct. 23, 2014) One man is on a mission to boost the population of wolves in China's violence-wracked far west. The animal - symbol of the Uighur minority there - is under threat with a massive human resettlement program in the region. Duration: 00:41 Video provided by AFP
Powered by NewsLook.com
Breakfast Debate: To Eat Or Not To Eat?

Breakfast Debate: To Eat Or Not To Eat?

Newsy (Oct. 23, 2014) Conflicting studies published in the same week re-ignited the debate over whether we should be eating breakfast. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Plants & Animals

Earth & Climate

Fossils & Ruins

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins