Aptus

How do we make your IoT dreams come true?

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Case

Recupel

Smart object detection based on an advanced network of cameras and a machine learning algorithm.

Case: Recupel

The main goal of Recupel is to collect, reuse and recycle as many used lightbulbs and e-appliances as possible. One of the things they do is the separation and removal of the most harmful substances in electronics. The categorization of the electrical appliances was done manually so they were looking for a new efficient way to run this process more smoothly!

The role of Aptus

We built a system with smart cameras, a scale to measure the weight, and software to categorize the different types of electronics. 

Smart object detection based on an advanced network of cameras and a machine learning algorithm.

How does it work?

  • The electrical products are placed on the scales and the cameras draw a picture from each view
  • The captured photos go through the artificial intelligence software on the Azure Cloud
  • The object will be placed with weight and photos under the correct classification

In case of faulty recognition, for example between a laptop and mobile phone charger, you can adjust the result manually. This makes the algorithm smarter through machine learning and it will recognize it effortlessly in the next similar object.

Used Technologies

  • Camera
  • Edge-computing
  • PWA
  • ReactJS
  • Microsoft Azure

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