Strong Breeze Series AI robotic sorter

Intelligence Sorting

Strong Breeze Series AI robotic sorter

The Strong Breeze Series AI robotic sorter is used for sorting heavy materials such as wood blocks/boards, shoes, cardboard, glass bottles, oil drums, paint buckets, red blocks, and fabrics.
WORKING
PRINCIPLE
Strong Breeze Series AI robotic sorter are widely used in construction and decoration waste, recyclable waste, bulky waste and other handle systems. It has the characteristics of fast and wide range of sorting. It can realize the identification and sorting of various materials such as fabrics, plastic drums, wood blocks/boards, shoes, metal, foam, glass bottles, etc. at the same time. The rich sample database can realize the rapid switching of product application scenarios.
Strong Breeze Series AI robotic sorter
Technical
Data
Max sorting weight
30 Kg
Max sorting speed4000times/h

Features

Strong Breeze series AI robotic sorter and Light Breeze series AI robotic sorter can be applied to various solid waste disposal systems such as domestic waste, food waste, kitchen waste, recyclable waste, construction and decoration waste, industrial waste, etc., which can realize the Impurity removal and purification and the recovery of high-value materials.

rich sample database, innovative intelligent image recognition technology, combined with the self-developed algorithm model for complex materials such as overlapped, damaged and stains, greatly improves the recognition accuracy rate, making the sorting rate over 96% .

Compared with traditional sorting robots, the energy consumption is reduced by 10% and the operation and maintenance costs are reduced by 10%.

The simple operation interface can quickly switch and select different material database, which can realize the simultaneous sorting of multiple materials.

The efficient motion control system ensures the high-speed and stable operation of the equipment.

Comparing to traditional sorting robots, our innovative duplex structure robots are saving 20% space and reducing 30% equipment investment costs.

The ability of self-learning in the cloud can realize remote diagnosis and smart upgrade.


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