China HF Intelligent RGB Optical Sorter Custom-developed Exclusively For Waxberry, Equipped With AI-powered Cost-effective RGB Camera Sorting Solution. for sale

HF Intelligent RGB Optical Sorter Custom-developed Exclusively For Waxberry, Equipped With AI-powered Cost-effective RGB Camera Sorting Solution.

Price Negotiable

Price: Price Negotiable

MOQ: 1

Delivery Time: 5-8 work days

Brand: PHOENIX

Product Description

HF Intelligent RGB Optical Sorter

Custom-developed exclusively for waxberry, equipped with AI-powered cost-effective RGB camera sorting solution. Self-developed deep learning algorithms continuously boost defect recognition accuracy via sample training. Featuring outstanding cost performance, it perfectly adapts to standardized feeding sorting working conditions of waxberry. Adopting AI-driven color and surface defect inspection technology, it realizes automatic quality grading, defective fruit rejection and foreign material separation of waxberry.

Specifications

Model	Belt Width (mm)	Air Nozzle	Air Pressure (MPa)	Air Consumption (L/min)	Voltage	Power (kW)	Dimension (mm)	Unpacked Weight (kg)
HF1	300	64	0.6~0.8	<1200	220V~50/60Hz	3.2	3816×1240×1866	672
HF2	600	128	0.6~0.8	<2400	220V~50/60Hz	3.5	4340×1811×2144	882
HF4	1200	256	0.6~0.8	<3600	220V~50/60Hz	4.8	4519×2411×2144	1120
HF6	1800	384	0.6~0.8	<3600	220V~50/60Hz	6.8	4502×3075×2144	1425

Technical Features

Waxberry Exclusive Custom Optical Sorting Solution

Compact single-layer belt sorting structure, easy and quick installation
Waterproof and shockproof feeding mechanism ensures single-layer flat conveying, avoiding stacking and extrusion damage
Food-grade stainless steel body with sealed sorting cavity and electrical compartment, suitable for humid waxberry processing environment
Built-in stable humidity control module guarantees long-term stable equipment operation
Modular design, belt widths optional: 300/600/1200/1800mm, compatible with various processing capacities

AI Intelligent Optical Inspection System

Self-developed AI deep learning algorithm with iteratively optimized recognition model
High-definition RGB color imaging simulates human vision to accurately distinguish waxberry quality
High-brightness LED fill light delivers clear and stable imaging
All-round identification of various waxberry defects:
- Color defects: uneven color, mildew and rot
- Shape defects: malformed fruit, out-of-size fruit, fruit damage
- Surface damage: scratches, bruises, cracks, shrunken scars
- Foreign impurities: worm-eaten fruit, branches & leaves, mud, gravel, plastic debris

High-efficiency Pneumatic Valve Rejection Unit

Optimized structure balances durability, sorting speed and air consumption
Precise rejection and stable operation even under high-capacity production
Effectively reduces false rejection rate and cuts operational costs

15-inch Industrial Touch Control System

Simple and user-friendly interface, multi-language support
One-click access and switching of sorting parameters
Comprehensive remote maintenance system:
- Real-time equipment status remote monitoring
- Intuitive visual dashboard for operating parameter viewing
- Online fault diagnosis and interactive troubleshooting available