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The UTE has relied on PICVISA from among all possible suppliers to meet the high effectiveness and purity ratios required in the project.

7 pieces of equipment from our ECOPACK optical separator line have been installed with the most innovative developments, including artificial intelligence.

The ECOPACK family, based on NIR technology and with the possibility of incorporating Deep Learning, thus continues its progress in the waste sector. 7 units have been installed, located at different points in the process, for the recovery of recoverable materials PET, HDPE, mixed plastics, CBA and paper/cardboard.

The equipment is sized and configured to be able to process both R.S.U. as E.E.L.L. The flexibility and versatility of the equipment facilitates a rapid adaptation of all the parameters of the equipment to the different types of flows.

The configuration and arrangement of the optics in the treatment line is studied to achieve the maximum global recovery of the installation, minimizing the loss of recoverable materials in the rejection of the plant.

The 2D material from the two ballistic separators joins in a single flow that feeds an ECOPACK-3000. This equipment aims to recover paper/cardboard.

The 3D material from the two ballistic separators is also joined in a single line to feed the rolling optics cascade. The first equipment, an ECOPACK-3000, is in charge of separating all the recoverable material (plastics and CBA). The rest of the non-blown material falls into a second optical separator, also an ECOPACK-3000 model, which recovers all possible recoverable material that has not been classified by its predecessor.

Once the recoverable material has been separated, this flow passes to the next ECOPACK-2000 equipment, which complements the NIR-based technology with the artificial intelligence “BRAIN Add-on by PICVISA” (Deep Learning). Its mission is the detection and classification of PET containers, discriminating thermoformed ones (trays) if the client so parameterizes it. The ease and speed of changing the configuration, even with the line running, is immediate, through an intuitive touch screen.

The next step would be the classification of the HDPE using an ECOPACK-1000, and to finish the material it passes through an ECOPACK-2000 with 2 channels. The CBA is classified through one of the channels and the final rejection is redirected to the second channel for the recovery of containers and recirculate them to the head of the opticians. In this way, the loss of recoverable materials in the final rejection of the line is avoided.

In addition, at the head of the 3D flow optics cascade, they pour all the plastics and CBA classified by an ECOPACK-2000 located in the trommel sinking line, so that the smaller recoverable ones (50-100mm) are also recovered by the equipment installed in the main flow.

All PICVISA optical separators are supplied ready to integrate the additional artificial intelligence module “BRAIN Add-on” at any time. In this way, PICVISA is committed to a vision of the future for its equipment with the aim of being able to easily adapt it to new customer requirements or market developments.

Technological innovation in vision and artificial intelligence is the pillar for the new Industry 4.0. and for years PICVISA has been guiding the evolution and development of all its teams with the aim of being a leader and benchmark in R&D&i. The information collected by the equipment, the control of parameters and the management of alarms is key to be able to base strategic decisions on the process and maximize the profitability of the business.

PICVISA maintains and reinforces its strategic commitment to the application of Artificial Intelligence to the recycling sector, being a pioneer in the application of this technology both through the ECOPICK robotic solution and in its different families of optical separators, ECOPACK and ECOGLASS. Artificial Intelligence has already begun to enter the recycling sector and its progress is presumed unstoppable, since it allows solving typical problems of equipment that does not have this technology as an added value.

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