Add value to your fruit via sorting by internal and external quality.

Technical advantages

Reemoon has long been committed to the independent research and development and technological innovation of the product. These excellent systems have greatly improved production efficiency and sorting accuracy for a large number of fruit packaging plants.

ProductsTechnical advice

Relying on the innovative system, a large number of customers have increased their output and reduced production costs, increasing the added value of fruits and vegetables in the market.


REEMOON’s specially developed fruit spectrometers

● Cope with different types of fruit.
● Have a unique light path design, which penetrates through the pith of the fruit.
● Fast switching module.
● Anti-jamming system.
● High signal-to-noise ratio.
● Low power consumption.
● Quick and accurate.
● Comes withasy to learn and use software.


The FRUSCAN visual sorting system

● Detects and identifies oil gland subsidence, lesions, wormholes and impact damage.
● Possesses a unique image processing unit.
● Adaptable to different production environments and customer requirements.

Reemoon’s weighing system

Sorting color grading

● Dual sensors and four-point contact for accurate weighing.
● Low error rate.
● Automatically switch from two packing mode: packing weight and packing quantity.
● A controllable temperature compensation function.
● Quick fruit cup replacement rate.
● Suitable for sorting both round, and oval, fruits and vegetables.

Color and defect sorting

Sorting color grading

●Brand new, advanced color recognition methods, adaptive update patented technology, in the state of high-speed movement of fruits and vegetables, quickly capture the shape of the fruit, use big data for analysis, and achieve high-precision color value level analysis. It can be divided into more than ten color grades, which is suitable for most of the fruits and vegetables on the market.
● State-of-the-art technology that quickly and precisely analyses the shape and color of fruits and vegetables sorting them into over ten different color grades.
● Advanced defect recognition methods and machine learning reduce fruit wastage. High precision color value analysis separates the fruit and vegetables into over ten color grades, all of which are suitable for the market.

Density sorting


● Reemoon density sorting adapts industrial-grade high-definition camera and light source system for data collection, which solves the problem of inaccurate detection accuracy of fruits and vegetables under high-speed operation. It can accurately calculate the density of fruits and vegetables to achieve refined sorting.
● Accurate density calculation using high-definition cameras and light source systems allow for refined sorting of fruits and vegetables.

Diameter sorting

Sorting sizing

The Reemoon diameter sorting system measures the diameter of the fruit by calculating the dimensions of the fruit and the projected area parameters. The system is flexible and convenient. The user can freely set the range of the fruit sorting diameter, the horizontal and vertical diameter ratio and other parameters.

Defect sorting

Sorting surface defects

Reemoon uses three-dimensional imaging technology, high-definition resolution camera and super bright light source system to collect the skin conditions of fruits and vegetables, and uses Gaussian modeling and adaptive update patented technology to process the data, accurate multi-directional image collection, without missing any details,such as pedicle, calyx and navel(umbilicus) of the fruit can also be accurately captured, the collected information can be detected and graded through hybrid Gaussian modeling and adaptive update patent technology. And the core processing modules all use embedded DSP processors, which do not depend on the PC, even if the computer is turned off, the sorting will not be affected at all.

Internal quality sorting


Reemoon’s internal sorting equipment features state-of-the-art technology including advanced gratings and sensor chips with a high signal to noise ratio. It passes light through thick fruit and vegetables to quickly and accurately measure sugar content, acidity, mildew, browning and pulp damage. Modelling is simple and intelligent, with equipment that requires a minimum of debugging time.