Meyer CG.A AI Deep Learning With UHD Color Sorter

Meyer CG.A AI DEEP LEARNING With UHD

Meyer CG.A AI Deep Learning With UHD, Series color sorter is designed to accurately sort and separate objects based on color, worm holes, and ensuring impeccable quality control for your business. It's mainly used in the sorting of bigger commodities like matar (peanut) and gram (Chana), with worm hole intelligent sorting solutions. It features high pure rate, low loss, and stable performance.

MULTIPLE USAGE FOR MORE CATEGORIES OF GRAINS

→ NIR infrared system/InGaAs infrared system

→ PID Position Control System

→ Color & Shape Sorting

→ Sniper System

→ Crash-prevented System

→ Intelligent Dust Sucking System

→ Easy to Clean

→ AI Deep Leaning Technolgy with UHD

→ Worm Hole Sorting

K4 & K4S Series

Engineering design, highly modular and standardized structure, can guarantee the consistency and reliability of the product.

Integrated frame, automatic robot welding, good rigidity and high reliability.

Sheet metal parts achieve intelligent production, ensuring that the sorting box, hopper and other parts are highly stable and reliable, and high waterproofness.

Digital electrical control system with topological structure, reducing 45% redundant control modules and realizing hidden wiring design, controlling the sudden failure of core components from the source and guaranteeing reliable operation process.

MEYER DEEP LEARNING TECHNOLOGY

Deep learning is a method in artificial intelligence (AI) that teaches computers to process data in a way that is inspired by the human brain. Deep learning models can recognize complex patterns in pictures, text, sounds, and other data to produce accurate insights and predictions.

MEYER Core Technology

MEYER AI DEEP LEARNING PLATFORM

Impurities or defects that can be identified by the human eyes but are difficult to define by traditional algorithms can be solved by Al Deep Learning!

Meyer Al deep learning solutions, based on a massive sample database, can calibrate complex detailed features from color, shape, texture, etc. according to customer needs, building and iterating deep learning sorting models, so that the machine can simulate the human brain computing and independent learning, achieving accurate analysis, identification, and sorting of materials, meeting the customer’s refined sorting needs.

How Deep Learning Works in Color Sorter Machine

Basically first we input that material in machine and capture the final and rejection material images through machine.
Like for one reject machine take more then 1000 picture if customer want remove 6 type bad material so we have to capture more then 6000 picture.
Than we make new module for that particular material and it is working very easy for operator like if we need to remove worm holes we have to one that program only same like Pin point, distorted Grain, Color etc.

Camera Quality

The Material Picture Under UHD Is 4 Times Higher Than Standard.
The UHD Chip Calculation Ability is 4 Times Faster Than Standard.

Specification & Configuration

Name	Model	Ejectors	Power (KW)	Voltage (V)	Air Pressure (Mpa)	Air Consumption (m3/min)	Weight (kg)	Dimension *(LWH)(mm)*
240CG.A AI	6SXZ-240CG2	240	2.0	180~240 (50Hz)	0.6~0.8	<3.0	1120	1891×1564×2020
360CG.A AI	6SXZ-360CG2	360	2.7	180~240 (50Hz)	0.6~0.8	<4.0	1400	2533×1564×2020
480CG.A AI	6SXZ-480CG2	480	3.4	180~240 (50Hz)	0.6~0.8	<5.0	1750	2991×1564×2020
600CG.A AI	6SXZ-600CG2	600	4.0	180~240 (50Hz)	0.6~0.8	<6.0	2090	3583×1564×2020
780CG.A AI	6SXZ-780CG2	780	5.0	180~240 (50Hz)	0.6~0.8	<7.5	2800	4445×1564×2020