chili pepper optical sorting machine using deep learning technology

How does optical sorter with deep learning technology work?

The deep learning technology of the color sorter is mainly used for image processing, which can automatically identify and classify images. The camera in the color sorter will transmit the image of the item to the computer, and the computer will use a deep learning algorithm to analyze the image to determine the color, size, shape and other characteristics of the item. An optical sorter can then automatically sort items based on these characteristics.

During the training process, the color sorter needs a large amount of data for learning. Typically, models are trained using labeled datasets, which contain a large number of item images and their corresponding color and other characteristic information. After the training, the color sorter can classify the color of unknown items.

Deep learning technology in chili pepper color sorting

Pepper sorting is a common link in agricultural production. Traditional pepper sorting usually requires a lot of manual participation, which is inefficient and expensive. However, the application of deep learning technology of color sorters in the field of pepper sorting can greatly improve production efficiency. and reduce labor costs.

There are many types and colors of peppers, and different varieties have different colors and shapes, and sometimes the color difference between different varieties is very small. Therefore, it is difficult for traditional machine vision technology to accurately classify and sort peppers. Using deep learning technology, the color sorter can quickly and accurately classify and sort different types of peppers.

Specifically, the deep learning technology of the color sorter will transmit a large amount of data acquired by the sensor to the computer, analyze and learn the image through a convolutional neural network, so that peppers of different colors and shapes can be identified and assigned to in the corresponding category. At the same time, through continuous learning and feedback, the color sorter can continuously improve its accuracy and stability to ensure the efficiency and quality of pepper sorting.

Using the deep learning technology of the color sorter to sort peppers can not only improve the efficiency and accuracy of sorting, but also reduce labor costs and labor intensity. Uniformity of quality and specifications. Therefore, the deep learning technology of the color sorter has broad application prospects in the field of pepper sorting.

Take the sorting of line pepper as an example 

The test is to remove the stem and discolor pepper