Jump to content

Smart container helps you recycle with artificial intelligence


Recommended Posts

Posted

reciclaje-inteligente.jpg?itok=J57dAAgC

Fortunately, we are increasingly aware that recycling helps to conserve the environment and we play our part to stop climate change. Although we already have practice in separating the waste, surely on more than one occasion you have had doubts about where to discard a product.

In order to always know what container the waste we have to go, a team of engineers from Cambridge Consultants has developed a system that uses artificial intelligence to identify waste. In this way, the new smart home appliance solves the doubts that can arise to the user in a matter of seconds, preventing the throwing of wrong products.

To identify the different waste materials, the new container designed by the corporation uses a technology of image recognition that combines machine learning and machine vision. Thanks to this, it is able to detect, for example, the differences between a recyclable paper cup and a biodegradable compostable cup. In addition, its developers ensure that over time the system can be trained to identify and recognize new items and materials.

Once the smart container knows what type of waste we want to discard, the section in which we have to throw the article lights up with a green light. It also has authentication options that allow the user to be identified through an application for the smartphone. In this way, each person can be rewarded in some way every time they recycle, for example through a ranking of points with badges, coupons that can be exchanged for products or similar strategies.

Cambridge Consultants believe that this smart recycling point is especially recommended for brands to show their commitment to recycling in their offices and business premises. It considers that its installation can help to promote the separation of the garbage in these surroundings, where by ignorance or by lack of suitable containers the index of recycling is situated between 40 - 45%.

 

 

Guest
This topic is now closed to further replies.
  • Recently Browsing   0 members

    • No registered users viewing this page.
×
×
  • Create New...

Important Information

By using this site, you agree to our Terms of Use.