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KITRO
Wednesday, Oct. 25, 2017 · 12:12 p.m. · 05m 35s
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so hi welcome my name is naomi and i am the cofounder of catcher
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so the rather long page so i promise of little sack but actually
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i don't really need this one that is ridiculous doesn't it did you know the two
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thirds of all the food reproducing for human consumption is ending up in the trash
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environmentally this has detrimental impacts and for the food and beverage industry there
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you is edible fruit is essentially the same esther anyway money
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and that's what inspired a screen capture to capture the first
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fully automatic food waste management solution restaurants and canteens
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we have a hardware and the software that allows us to automatically identify track and measure all the food that's been thrown into the bin
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with them provide users with reports that outlined the food waste showing them where they
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have p. carries a fruit ways in terms of quantity costs and time
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this empowers restaurants reduce reportable food waste reducing the
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food costs disposal costs and they're wasted resources
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so existing solutions to measure fruit waste exist um my biggest competitors are we a windows and the path
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but how we differ from them is that they ask for up to five seconds of transaction every time you're doing something away
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and anyone who's worked in this industry knows that you cannot add that additional step into
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the work flow so we're fully automatic and within the integrated into the work flow
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uh we lisa hardware and the software directly to restaurants and canteens for monthly subscription fee
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um in terms of traction we have done a pilot test with the holy cow ration
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invented tour we have three additional pilots confirmed for the end of the year
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and below you can see some other outlets were talking with uh to confirm
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pilots for uh the end of this year beginning of next year
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our goal right now is really to develop the parts together with the customers were developing
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another ten devices and looks to a business cases by the end of the year
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the team on us as you and i are uh the co founders we combine industry we've worked in service and intentions
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and we were the ones actually everyday throwing away this edible fruit and was there there we revise it needs to be a solution to this
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elliot is uh the c. t. l. you also p. h. d. in computer science and he's out every single attack
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and then for the hardware we've parted with x. and you know can labs um the phillies missing capabilities
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so we're looking to raise half a million i'm into doesn't eighteen this is so that
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we can really get the um harbour production and the initial inventory that we need
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to launch the product as well as or acquire the right talent uh and be ready
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for launch next yeah i think you and i love pretty question so ha
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ah i thank you very much now me any questions from the audience
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yes we're using image processing and de planing so everytime something's gonna
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weigh their senses on scale as baseball or the bin
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and so we take the time the weight and the image and we use image processing to allies images and determine what items i seen image
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so either identify menus or all identifying greeting components so if a spaghetti
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bowl in is is the way we're not gonna tell you it's
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some onions and tomato sauce et cetera will tell you the menu of speedy a button is was that way
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because integrate with your system so we know what menus we still lying as to have more accurate readings of what's going back
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okay
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um for some of them it's up there a lot of people that it you have to talk to a lot
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of people in their confirmation from a lot of people so this is not one decision older i'm always
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that's a bit different with fresh a hotel restaurants because they usually have somebody who's overseeing i this inability or
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f. m. b. and they can make that decision um quicker so it is decision process takes quite well
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no
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yeah so um with the software able move from manual to semiautomatic to
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fully automatic and we don't see that as a hindrance for launch
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so we'll use amazon turk to be able to label the images because as you said
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we need a large data sets a lot of it is manual right now
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no question
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so we did a pilot test with holy cow and we're allies that they
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had two main source of ways which was spent rise and that is
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and the based on the time we saw that was mostly coming from preparation so in a lettuce head
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you have sixty nine percent yield so you're supposed to capture that sixty nine percent and use it
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and they were capturing a lot less of that so we recommend is that they return
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this after that they buy the latest differently so they purchase it already pretty watched
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uh this uh reduction in lettuce ways by two kilos per day uh which is a savings of over a thousand
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swiss francs if they continue doing it to the end yeah that's just one example i'm happy giving where after
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okay any other question
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uh_huh okay thank you very much nine year
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