Sadako Technologies, Spanish start-up located in L’Hospitalet de Llobregat (Barcelona) develops Artificial Intelligence for the waste and recycling industry. In a new video recently released, the Company shows its trajectory and achievements, including the technology enabling MAX-AI robotic sorter and its participation in two Research and Development European Projects: the RUBSEE project, recently concluded, and the ongoing HR-RECYCLER.

Sadako uses state of the art Deep Learning and Computer Vision technology to detect objects in very complex waste streams, in real time, today being the eyes and brain of urban waste robotic sorter Max-AI©, product of the US company Bulk Handling Systems (BHS).

Max-AI, with Sadako vision tech inside, was launched in 2017 in a Material Recovery Facility in Los Angeles (USA) and two years later, more than 80 robots are already in operation, helping to recycle urban waste in 4 continents.

Beyond boosting robotics sorting, Sadako has developed RUBSEE, a waste flow monitoring system for the waste treatment plants, to allow plants to be “smart” (aware of what they are processing so that they can optimize its design and operation). This has received the financial support of the European Commission via an SME Instrument phase 2 of the Horizon 2020 Programme.

The RUBSEE Project started in February 2017 and has successfully ended in September 2019, with two main outcomes: relevant advances in Sadako AI technology for waste detection and 3 pilot systems installed and running in 3 different European waste treatment plants.

RUBSEE is a disruptive real-time monitoring system that uses advanced Artificial Intelligence and Computer Vision to determine in every moment the composition (kind/quantity) of material present in a number of locations in the plant. It aggregates and presents the information so that it can be easily analyzed and activated, and generates automatic alerts that can help managers and technical team to detect and resolve undesirable events.

The system targets the whole plant layout, and so it needs to be able to detect and measure in a big diversity of waste streams, more or less crowded and with a very different mix of objects depending on the location inside the plant. Some of the positions addressed have supposed great defiance in terms of Artificial Intelligence based visual recognition.image003 (2)


Published in: Nº64 FuturENVIRO October 2019