Whole potatoes are among the most challenging crops to sort — each tuber varies significantly in size, shape, and surface condition, while common defects such as greening, scab, black spot, rot, and mechanical damage are often subtle and difficult to detect consistently. For processors supplying fresh retail, foodservice, and further-processing markets, delivering uniform quality at high volume is essential to meeting buyer specifications and minimizing costly rejections.
The Legende HPOT1200 is an intelligent vision-based sorting system custom-designed for whole potato industrial grading and quality control. Leveraging high-resolution RGB (HR-RGB) imaging technology powered by proprietary AI algorithms, the system precisely detects and removes color variations, surface defects, shape irregularities and foreign materials in real time, improving finished-product consistency, and providing a more efficient, reliable and quantifiable solution for whole potato sorting.
AI-driven surface defect recognition algorithms — trained on real-world production data using deep learning, with sorting precision refined continuously— help processors enhance product quality, increase throughput, reduce labor costs, and maintain a competitive edge in the market.
Leaves No Surface Defects Behind

Technical Features
● Custom-Designed Optical Sorting System for Whole Potatoes
✦ Compact single-belt sorting system with quick-install design
✦ Superior conveying and imaging technology enables a comprehensive scan of whole potatoes
✦ Reinforced food-grade stainless steel structure and sealed scanning/control enclosures withstand frequent high-pressure washing
✦ Quick belt change ensures convenient routine maintenance and cleaning
● AI Powered Full-Coverage Defect Inspection System
✦ Innovative combination of 360° Panoramic High-Resolution RGB Camera System and High-Intensity LED Illumination System
✩ Every detail of the potato surface can be captured without the need for mechanical flipping, preventing bruises and mechanical damage while ensuring zero blind spots in detection.
✩ Additionally, foreign materials like stones and soil clods that closely resemble the color of potatoes can be efficiently removed, significantly improving product purity.
✦ Proprietary AI algorithms enhance defect detection, with models retrainable on real-world production data via deep learning, enabling continuous refinement of sorting precision
✩ Due to Lauffer’s cutting-edge Deep Learning algorithms and large model recognition technology, Legende HPOT1200 AI Optical Sorting System goes beyond simple color differentiation. It understands complex visual information like the human eyes, accurately identifying and judging defects such as green spots, deformities, sprouts, as well as subtle scratches, wormholes and decay.
✩ The AI model possesses strong generalization and continuous learning capabilities. Facing variations in potato skin across different batches and origins, the system can dynamically adjust sorting criteria. As operational data accumulates, the algorithm continuously iterates and optimizes, making the sorting equipment smarter over time.
● High-Performance Air Ejector System
✦ Engineered for enhanced durability, optimized speed and air consumption
✦ Accurate rejection and reliable performance at high-capacity sorting
✦ Significant reduction in false rejection rate and total cost of ownership
● 15-Inch Industrial Touchscreen Control Panel
✦ Intuitive HMI with multilingual support
✦ Instant switching between product profiles
✦ Comprehensive remote support system
✩ Remote Access and Monitoring
✩ Real-time Performance Dashboard
✩ Live Expert Diagnosis
✩ Interactive Troubleshooting
Specifications
| Model |
Belt Width (mm) |
Air Nozzle |
Air Pressure (MPa) |
Air Consumption (L/min) |
Voltage |
Power (kW) |
Dimension (mm) |
Unpacked Weight (kg) |
|
HPOT1200 |
1200 | 128 | 0.6~0.8 | <4100 | 220V~50/60Hz | 9.5 | 3322×2242×2947 | 1661 |