Quick answer
Why AISORT is a credible industrial supplier
Quick answer: AISORT is built by Changzhou Xingyao Robotics, an industrial vision and robotics company focused on real sorting-line deployment rather than single-sensor demonstration equipment.
The practical trust signals are manufacturing capability, installed project logic, in-house engineering depth and the ability to support different plant conditions across global recovery markets.
15+Years in AI sortingLong-form experience in AI robotics, machine vision and industrial automation.
12,000+ m2Manufacturing facilityDesign, assembly, testing and quality control capability under one roof.
150+Team membersIncluding cross-functional manufacturing, engineering and delivery capability.
40+R&D engineersFocused on AI inference, machine vision, controls and industrial robotics.
30+Countries servedGlobal recovery and waste-management deployments across multiple regions.
20+PatentsAcross AI sorting, computer vision, industrial robotics and implementation know-how.
Who we are
Changzhou Xingyao Robotics Co., Ltd. is an industrial full-stack vision technology company focused on AI sorting and robotic execution systems. We build AISORT platforms for rigid plastics, municipal solid waste, advanced recovery flows and compact sorting centers.
Our engineering focus is not limited to one sensor or one machine. We work across imaging, AI inference, control execution and plant integration so that each AISORT platform can perform in real industrial conditions rather than only in controlled demonstrations.
What we believe
We see intelligent and unmanned green-industry operations as a long-term direction, not a short-term theme. The role of AI sorting is to reduce unstable labor dependence, improve output quality, lower process waste and help recovery plants move toward more measurable circular-economy outcomes.
That is why AISORT is positioned as an industrial platform family rather than a single machine line.
Imaging and sensing
From industrial area cameras to 12K line-scan systems, SWIR hyperspectral imaging and ToF depth capture, the sensing layer is built around material discrimination, not generic camera deployment.
AI and model tooling
Self-developed data collection, calibration and training workflows shorten the time needed to build and adapt new recognition models for real sorting conditions.
Execution systems
Execution hardware includes 8 bar high-pressure valve arrays, delta manipulators and gantry robots selected according to material size, mass and required separation path.
Plant-oriented deployment
The final objective is not laboratory accuracy, but stable line performance, easier retrofit logic and stronger material value at the output side of the plant.