Products Description
Our Sweet Potato Optical Sorting Machine combines high‑precision camera hardware with proprietary AI algorithms to automatically classify products by diameter, length, and surface defects. Each lane is equipped with two high‑resolution cameras (four cameras per machine) for 360° inspection, capturing detailed images that are instantly analyzed to identify cracks, bruises, rot, and irregular shapes with exceptional reliability-ensuring consistent quality from incoming harvest to final packaging.
Features
- Customizable
- High efficiency
- Various speed
- Continuous processing
- Simple operation & maintenance
Specification
|
lanes |
1,2,4 |
|
Output Ports |
9-20 |
|
Power of Grading Section |
2.2 kW |
|
Defect type |
Mechanical damage,Surface rot,Cracks, foreign objects etc |
Specific parameters can be customized according to requirements
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Customer Feedback
FAQ
Q1:How does AI technology detect defects in sweet potato sorting?
A: Our machine uses a deep learning convolutional neural network (CNN). During initial setup or product changeover, the system is trained by analyzing thousands of sweet potato images (including both acceptable and defective products). The AI then builds its own "acceptable" and "unacceptable" criteria based on your preferred features (such as surface integrity, color uniformity, and size).
Q2: What specific sweet potato defects can FstSort AI sorter machine detect?
A:This machine is specifically designed to address the unique challenges encountered in sweet potato processing. It can accurately identify and remove the following defects:
• Mechanical damage: cuts, abrasions, and impact marks.
• Pathological problems: externally visible rot, sour rot, and black rot.
• Physiological problems: growth cracks, rust spots, and deformed products.
• Foreign objects: stones, stems, leaves, and clumps of mud.
Q3: What are the AI sweet potato grader sorting accuracy and throughput?
A:
• Weight sorting: Dynamic weighing, error <3 g.
• Camera sorting: Two cameras per channel cover >85% of surface; missed detection negligible.
• Processing capacity: 3–4 t/h per channel, 1–6 channels (3–18 t/h total). Channels and outlets customizable.
Q4: Can FstSort AI sweet potato sorter be integrated with my existing production line?
A: Yes. Our sorting machines are custom-designed. The machine can be seamlessly integrated upstream (after washing or before peeling) or downstream (final inspection before packaging). We offer custom pipe connections and hopper designs to fit your existing layout.
Q5: Is our sweet potato optical sorting machine easy to operate and maintain?
A: Operation: Brief training enables anyone with basic computer skills to operate. Computer-based control unit supports remote assistance and video guidance.
Maintenance:
• Wear parts: Fruit cups can be replaced individually in 2–5 minutes.
• Sensors: Periodically check load cells; remove debris with compressed air.
• Calibration: Perform monthly or as needed; takes about 2 minutes.
• Software: No routine maintenance; remote upgrades available.
• Design: Tool-free cleaning of observation window; LED lights rated for 50,000+ hours to minimize downtime..
Q6: What is the return on investment (ROI) of this sweet potato AI grading machine?
A: Most customers recover their investment within 6 to 18 months. AI intelligent sorting delivers:
• Reduced labor costs: Replaces dozens of manual sorters; one worker can manage 2–3 packing conveyors.
• Increased output:Stable, efficient operation unaffected by working hours or fatigue; minimizes idle time and unnecessary movement.
• Lower losses, higher yield: Consistent sorting standards eliminate subjective human error and reduce rejection of good products.
• Food safety & enhanced image:Automatically removes rotten or moldy sweet potatoes to prevent contamination; modernizes production with AI technology.