The standard in 

Green Coffee Sorting,

Preserve flavor with

precise selection.

Our advanced sorter uses AI to detect and remove defects and foreign materials from green coffee beans with exceptional accuracy. 

By minimizing batch-to-batch variation, it helps roasters achieve higher yield, consistency, and flavor protection.


Equipped with a high-resolution image sensor and cutting-edge machine learning algorithms, the system delivers precision beyond human visual inspection while dramatically reducing inspection time. 

The result is a reliable, automated solution that elevates quality and efficiency in green coffee processing. 

AI-Powered Green Coffee Bean Defect Sorter

Product name : BINO_(Bean+Innovation)

<0.1%

False Alarm Rate

>98%

Defect Detection Accuracy

3kg/h

Max Throughput

From Manual Labor to Automated Precision


Traditional manual sorting is time-consuming, inconsistent, and unsuited for high-volume roasting. 

BINO automates the process with AI vision technology, delivering unmatched precision, speed, and consistency.

   Key Benefits

  • Accurate defect recognition: Automatically detects broken, insect-damaged, fermented, discolored, and BBM beans
  • Foreign object removal: Eliminates stones and metals to safeguard roasting equipment
  • Consistency & yield: Reduces batch-to-batch variation while standardizing quality
  • Operational efficiency: Lowers labor fatigue and overall processing costs  

   Core Technologies

Key Features

Real-time Grading

On-screen dashboard provides batch-level quality estimates aligned with SCA standards

Compact Design

Small footprint (300 × 350 × 500 mm) suitable for labs, sample roasting facilities, and small-batch operations

Energy Efficient

Low power consumption (120 W) 

reduces operating costs

Traceability

Origin, lot, and batch logging with CSV export

for quality control

Remote Support

Network-enabled diagnostics and software updates

AI that improves itself

Adaptive improvement through feedback-driven retraining of the CNN model

Key Specifications



ItemSpecification
Processing
Capacity / Time
500g per cycle
(approx. 10 minutes)
Sorting Accuracy≥ 98%
(AI-based defect detection)
Camera System1280 × 1024 high-resolution
RGB sensor
AI Algorithm
CNN-based image
 classification with
machine learning model
Detectable DefectsMold, Insect-damaged, 
discolored, broken, 
cracked beans
Input Hopper
Capacity
Up to 600g
User Interface5-inch touchscreen
Power RequirementAC 11-220V, 120 W
Dimensions
(L × W × H)
300 × 350 × 500 mm

Gallery

Get In Touch

We provide a wide range of solutions tailored to our customers’ business needs.

If you have specific tasks or roles in mind, please feel free to contact us anytime.

We are committed to working with you to design and support customized solutions that drive your success

#1605~1607 A Dong Woolim Blue9 Business Center , 583 Yangcheon-ro, Gangseo-gu, Seoul
TEL : +82-2-2668-0519 | FAX : +82-2-2668-0520
EMAIL : sales@geonwoo.com


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