Cherry tomato grader FL-CC series

for vegetablesfor fruits and vegetablesbelt

Overview
The FL-CC series cherry tomato sorting robot is an AI vision-based, non-destructive grader designed for high-throughput agricultural and packing-line applications. It identifies, grades and separates cherry tomatoes by color, ripeness, size and surface defects while preserving product integrity.

Product summary
The system combines multi-angle high-resolution imaging with deep-learning algorithms to deliver automated one-pass sorting. Operators can configure grading criteria (e.g., Premium, Grade B, Reject) and generate real-time production reports on throughput, defect rates and weights. Sorting mechanisms use soft grippers or air-jet ejection to avoid bruising.

Specifications of Tomato Sorting Machine

• Model series: FL-CC series (examples: FL-CC6T-V8, FL-CC8T-V8, FL-CC10T-V8, FL-CC12T-V8, FL-CC16T-V8)
• Throughput: model-dependent, approx. 800–1800 kg/hour
• Detection: multi-angle high-resolution cameras with 360° image capture
• Analysis: AI / deep-learning algorithms for color, ripeness, shape and defect detection
• Sorting mechanism: soft silicone grippers or air-jet ejectors for non-destructive handling
• Accuracy: typical reported accuracy 95–99% depending on configuration
• Output bins/categories: configurable multi-category sorting in one pass
• Reporting: optional real-time reports on quantity, defect rates and weight
• Customization: adaptable to production-line layout and customer specifications

Features

• Non-destructive inspection and sorting to minimize product damage.
• High-speed continuous sorting with model-dependent throughput.
• One-click sorting profiles and multi-dimensional optimization for reduced processing steps.
• Trainable AI models for rapid adaptation to variety and defect types.
• Integration-ready with upstream and downstream processing lines.

How it works

• Feeding & alignment: gentle conveyor separates and positions each fruit.
• 360° image capture: multi-angle cameras acquire high-resolution images of every tomato.
• AI analysis: deep-learning evaluates color spectrum, diameter, roundness and detects surface/internal defects.
• Grading & sorting: soft grippers or air jets direct fruit into configured bins per grading rules.
• Data logging: optional real-time dashboards and reports for traceability and quality control.

Applications

• Primary: sorting and grading cherry tomatoes by ripeness, color, size and surface quality.
• Secondary: adaptable to similar small fruits (grapes, cherries, small peppers, olives) and small produce lines.

Technical characteristics

• Typical models: FL-CC6T-V8, FL-CC8T-V8, FL-CC10T-V8, FL-CC12T-V8, FL-CC16T-V8
• Production capacity: approx. 800–1800 kg/h depending on model
• Imaging: multi-angle, high-resolution cameras; 360° capture
• Software: onboard AI/deep-learning with configurable grading parameters
• Handling: soft silicone grippers or air-jet ejectors for gentle sorting
• Reporting: optional real-time quantity, defect rate and weight reports
• Integration: modular interfaces for conveyor and packing systems