For different types of WPCBs, the system can achieve the following functions: precisely locate the positions of components on the boards; identify the strings on component surfaces; match and classify them with the database; calculate and output the box for cutting; and then the equipment automatically cuts the high-value components according to the box; sort and collect the cut components according to the strings.
Provides integrated visual algorithms for panoramic reading of circuit boards, component positioning, model identification, and determination of recycling value.
Realize the value analysis of up to 200 components on the board within
seconds, with an accuracy rate of 85%+.
Realize intelligent cutting, pyrolysis, separation and extraction process guidance.
The visual analysis model has a training base of 200,000+ component images
and data samples.
Support customers to provide data to enhance model learning
Continuous heuristic evolution of data sets
Intelligent identification and fine dismantling technology can increase the recycling value of used circuit boards by 42%, turning e-waste into “urban minerals”.
Waste tires are thermally cracked to produce recycled carbon black, pyrolysis oil, tire steel wire and syngas, thus achieving resource utilization.
Reduce white pollution and land pollution caused by plastic landfills, and promote the recycling of resources.
