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Food Smart tablecloth can suggest recipes by identifying ingredients

04:55  28 october  2020
04:55  28 october  2020 Source:   dailymail.co.uk

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Scientists have developed a low-cost ' smart tablecloth ' that can suggest recipes for dinner by identifying ingredients placed on top of it. When hooked up to a smart speaker like Amazon Echo, the 'Capacitivo' tablecloth , which is layered with diamond-shaped electrodes, can relay recipe steps to

a smart tablecloth that can suggest meals based on the ingredients that have been placed on it. For instance, the tablecloth would be able to identify if you have placed an avocado of cheese on a a connected app, which would analyse its database to show recipes that use those ingredients .

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Scientists have developed a low-cost 'smart tablecloth' that can suggest recipes for dinner by identifying ingredients placed on top of it.

When hooked up to a smart speaker like Amazon Echo, the Capacitivo tablecloth, which is layered with diamond-shaped electrodes, can relay recipe steps to the user.

The technology, which has been developed by Microsoft and Dartmouth College in New Hampshire, has been trained with a machine learning system to recognise objects.

Scientists say the device successfully identified 20 items in lab trials, including an avocado, a kiwi and a grapefruit, as well as household and office items like an Apple AirPods case and a bottle of hand sanitiser.

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LG's new fridges offer recipe suggestions and produces trendy spherical ice. LG fridges also let users browse AI image recognition technology scans and identifies products inside the fridge and sends updates on items that have been added or are in low supply. If you're short of ingredients to cook

Just type some ingredients into the search bar here. No commas or anything needed. Craftlog A lot of recipe sites and apps over-complicate the search process. On first glance, it might seem cool if you can enter in a bunch of explicit details like

Capacitivo can even alert users if a plant resting on it needs to be watered, by sensing the amount of moisture in its soil.

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In trials, it could tell the difference between a kiwi, a grapefruit and an avocado. Grapefruits, which have a unique capacitive footprint, according to the team were recognised with an accuracy of 98 per cent © Provided by Daily Mail In trials, it could tell the difference between a kiwi, a grapefruit and an avocado. Grapefruits, which have a unique capacitive footprint, according to the team were recognised with an accuracy of 98 per cent

ITEMS TESTED ON CAPACITIVO

Food

Kitchen

Office

Personal

The researchers evaluated the performance of the technology using 20 different objects, which in all yielded a 94.5 per cent accuracy rate.

It can also differentiate five different types of liquid – milk, coke, cider, cold water and hot water – with 96 per cent accuracy, the experts claim.

Key to the device being able to identify particular objects is their capacitance – their ability to collect and store energy in the form of an electrical charge.

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Smart tablecloth can suggest recipes by identifying ingredients .

Supercook is a recipe search engine that lets you search by ingredients you have at home. Supercook can help you save hundreds on grocery bills by showing you how to fully use the ingredients you have at home.

When an object is placed on Capacitivo, its electrodes can track even the slightest movement by monitoring tiny electrical charges as they travel through the material.

'It uses the basic principle of a touch screen that detects your finger,' Microsoft researcher Teddy Seyed explained to the Telegraph.

'Every object has a different capacitance property and based off that property we can determine what object is on the fabric.'

Seyed and his team claim the technology recognises non-metallic objects such as food, different types of fruits, liquids and objects found around a home or in a workplace, like an external hard drive.

The team tested the prototype with positive results, although it could be 10 years before a commercial product is available.

It discerned differences between a kiwi and and avocado with a good level of accuracy despite the fact their size and shape are not very different from each other, researchers said.

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No measuring! The scale weighs each ingredient as you pour and alerts you when to stop. Enter what you have on hand and Perfect Drink will suggest recipes . Comes with Wireless Stainless Steel Perfect Drink PRO Scale, Device Stand, and 750ml Stainless Steel Cocktail Shaker.

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Grapefruits, which have a unique capacitive footprint, according to the team, were recognised with an accuracy of 98 per cent.

The technology could also correctly recognise an empty bowl versus one filled with clam chowder in 20 out 20 instances.

It was also able to differentiate between wet and dry soil for the table plant with 99 per cent accuracy.

a close up of a flower: The tech can even alert users whether a plant resting on it needs to be watered, by sensing the presence of water in its soil © Provided by Daily Mail The tech can even alert users whether a plant resting on it needs to be watered, by sensing the presence of water in its soil

Researchers said one of the most difficult objects to correctly detect was a rewards card from US retailer JCPenney, which was recognised with an 85 per cent accuracy.

'In this case, neither the shape nor the material could serve as a reliable indicator for the system to recognise the object,' they said.

The team has detailed several different application scenarios in the home, when hooked up to a laptop, phone or a smart speaker.

When paired with a laptop, it could detect when a plant needs watering and notify users via notifications on a communication platform such as Slack.

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Indeed, people can quickly identify the dish and its ingredients just by looking at it. But it is much more complex for computers. We train three deep learning models to learn the joint embeddings for the images and ingredients / recipe . Here we utilize the paired ( recipe and image) data to learn a

I would like to construct system that would suggest user ingredients once he/she inputs title of the recipe . I think that this is the task of machine once user inputs recipe name (rname), I run query using postgres' Trigram Similarity module to detect similarity between rname and recipe table names.

background pattern: The researchers' prototype is composed of a 12 by 12 grid of diamond-shaped electrodes © Provided by Daily Mail The researchers' prototype is composed of a 12 by 12 grid of diamond-shaped electrodes

With a phone, it could update information on diet-tracking apps, such as daily calorie intake, based on the identity and volume of liquid inside a glass.

If integrated with a smart speaker like Amazon Echo, the cloth could remind a user not to forget items they’ve left on it, such as lipstick, keys or a debit card just as they leave the house.

It could also remind users to clear their dishes after a meal by sensing if they are filled with food or not.

Additionally, the tablecloth can auto-fill payment details when a debit card is placed on top of it.

In tests, it was able to differentiate two types of payment card based on their magnetic strips and a lack of an internal chip in one of them.

Researchers created their prototype from conductive fabric attached to a textile and fixed with a 12-by-12 grid of electrodes.

The researchers designed the size and separation between the electrodes to maximise the sensing area and sensitivity, they said.

SMART FABRICS VS E-FABRICS

Smart fabrics are fabrics that contain new or innovative components that benefit the wearer.

Smart fabrics, or smart textiles, can reacts to outside stimuli such as heat, chemicals or magnetism.

They do not necessarily have an electronic component.

The Pratt Institute in the US has said smart fabrics have the ability to 'communicate, transform, conduct energy and even grow'.

Smart fabrics differ from e-fabrics (electronic fabrics), which generally combine fibres with electronics.

E-fabrics can contain lights, batteries or small computer chips.

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