What is ARTHYLEN
ARTHYLEN is the combination of Deep-Learning technologies and augmented reality, which allows the recognition of fresh products exhibited in the sections of supermarkets, grocery stores or warehouses.
Through such technology, using conventional electronic devices,-mobile or Tablet-, or other more specific ones like augmented reality glasses, the user obtains in real time detailed information about the product that is being displayed.
What is ARTHYLEN
ARTHYLEN is the combination of Deep-Learning technologies and augmented reality, which allows the recognition of fresh products exhibited in the sections of supermarkets, grocery stores or warehouses.
Through such technology, using conventional electronic devices,-mobile or Tablet-, or other more specific ones like augmented reality glasses, the user obtains in real time detailed information about the product that is being displayed.
What is ARTHYLEN
ARTHYLEN is the combination of Deep-Learning technologies and augmented reality, which allows the recognition of fresh products exhibited in the sections of supermarkets, grocery stores or warehouses.
Through such technology, using conventional electronic devices,-mobile or Tablet-, or other more specific ones like augmented reality glasses, the user obtains in real time detailed information about the product that is being displayed.
News
If you are interested in discovering the benefits and applications Arthylen can bring to your business do not hesitate to contact us. We will be pleased to visit and make a demonstration.
01
Shoot
The user obtains an image of a product or range of fresh products, from a shelf of the store, with his device.
02
Process
The Image is processed thanks to the technology of image recognition by textures (skin), enabling its identification in 2D among the database of products.
01
Shoot
The user obtains an image of a product or range of fresh products, from a shelf of the store, with his device.
02
Process
The Image is processed thanks to the technology of image recognition by textures (skin), enabling its identification in 2D among the database of products.
01 Shoot
The user obtains an image of a product or range of fresh products, from a shelf of the store, with his device.
02 Process
The Image is processed thanks to the technology of image recognition by textures (skin), enabling its identification in 2D among the database of products.
03
Compare
It compares the image captured with the repertoire of images of that product in its different possible situations in order to identify elements that categorize a management situation.
03
Compare
It compares the image captured with the repertoire of images of that product in its different possible situations in order to identify elements that categorize a management situation.
03 Compare
It compares the image captured with the repertoire of images of that product in its different possible situations in order to identify elements that categorize a management situation.
04
Suggest
It suggests a specific recommendation to the user depending on that comparison and the features of the product that where identified in the image taken (damage, skin color, over-ripe, rottenness, …). Projecting the suggestion on the captured image in real time, identifying the products by their characteristics.
04
Suggest
It suggests a specific recommendation to the user depending on that comparison and the features of the product that where identified in the image taken (damage, skin color, over-ripe, rottenness, …). Projecting the suggestion on the captured image in real time, identifying the products by their characteristics.
04 Suggest
It suggests a specific recommendation to the user depending on that comparison and the features of the product that where identified in the image taken (damage, skin color, over-ripe, rottenness, …). Projecting the suggestion on the captured image in real time, identifying the products by their characteristics.
Photographic database of products
The adquired information is incorporated into a Data Base from where, subsequently, information regarding products’ situation by section and shop can be obtained. This has valuable applications for the store’s management and the shopping department.
Quiénes han probado ya nuestra tecnología
“With the Intermarché supermarkets we have developed a pilot experience to test the effectiveness of our technology in the Occitan Region.
“The Agri-sudouest Agro-food Cluster brings together companies and associations from the entire southern half of France, with headquarters in Toulouse, Montepellier and Bordeaux. He has collaborated with his expertise in the design of the Arthylen functionalities.
