The above index is based
on 15% impurity content quartz as an example,The specific index varies with the
material and impurity content.
Technical Advantages
1,Introduced artifical
intelligence methods such as deep convolutional neural networks(CNN) in the
field of visible light photoelectric sorting to analyze and process material
images.
2,AI photoelectric
sorting technology can automatically extract the multi-dimensional characteristics
of materials,like texture,shape,color,quality,luster,etc., which greatly
improves the sorting effect,expands the sorting scene and material types,to
meets the market diversification andpersonalized sorting requirements,and solves the problem of limited color sorting materials in current color sorter market.
3,Photoelectric sorting
requires high real-time performance,while CNN operation is relatively slow.In
this regard, we adopt the model compression technology to accelerate CNN
operation speed and greatly improve the recognition efficiency.
4,In view of the
situation that many mineral materials cannot obtain massive data,our company
adopts transfer lerning technology and industrial image sample enhancement
technology to ensure the recognition accuracy of non-massive data training.
5, The AI sorting
machine uses a gigabit camera to transmit image data to multi-GPU computing
platform,which adopts CNN to analyze material types and accurately identify
material surface features and texture structures.
Product feature of AI sorting machine
1,it’s the first to
introduce artificial intelligence means of neural network in the field of
sorting,which solves the problem that color sorting machine can only separate
according to simple criteria.
2, The sorting mode is
established according to users’ sorting requirements to meet users’ diversified
and personalized sorting requirements.
3,We own the
self-developed software system and closed machine structure, the main internal
components are all imported,which can adapt to the harsh environment
requirements like high dust,high pollution, and high corrosion in the industry
and mining area.It has a wider application range and longer life.
4,Flexible track-type
material conveying system,with samll drop,large output,and suitable for the
sorting of more materials.
5,The vibrating feeding
part and the main part of the equipment adopt a split structure to avoid the
impact of vibration generated during the feeding process on the host and make
the equipment operation more stable.
6, the sorting effect
can be continuously improved by learning mode, and the deep learning mode can
be developed.
7,High
intelligence,remote debugging,smart monitoring,remote service and software
upgrading.
Hefei MINGDE Optoelectronic Technology CO; Ltd is a professional enterprise of smart-color-sorter equipment research, produce and sales, which is located Shuangfeng Economic Development Zone of Hefei city in China250 miles west awy from Shanghai Port; owns a 40 acres industrial park, including 2000 R&D center and standard factory; has the capacity to produce more than thousand machines and to generate more than 100 million output value per year. The R&D team of MINGDE are consisted by innovative experts and talent in photoelectric technology field, most of whom are graduates from Tsinghua University, University of Science and Technology of China etc.
The goal of MINGDE is to achieve maximum customer satisfaction by developing smart, practical, user friendly and high quality products. So far, MINGDE has launched a series of smart color sort machine, whose intellectual property rights are owned by MINGDE completely. This series of product can accurately sort food material such as rice, cereal, tea etc. and industrial material including plastic, mineral and so on, which are successfully exported to America, Africa, Southeast Asia and other overseas markets. All series of the products are well respected within photoelectric color sorting field and praised by customers.
In MINGDE, our enterprise philosophy is that Integrity is the basis for successes. We devote to the creation of leading technology and innovation. We are willing to work with friends from all areas and to make brilliant contributions in photoelectric color sorting field.
