About
Hypercore
company
Hypercore is an R&D start-up aimed to create and develop innovative laboratory and industrial solutions based on hyperspectral imaging principle. As a result of our long-term R&D work (which is still being continued) we developed our own software for processing and interpretation of hyperspectral data, which could be used for development of products in different areas of economy and grants unlimited possibilities for new products development.
Currently we decided to focus on the development of following products:
WINGSBEE
Industrial solid waste sorting machine for high-throughput and fast sorting of solid wastes (MSW) based on hyperspectral imaging principle.
Learn MoreOur Team
Hypercore team consists of serial entrepreneurs with research background and reach history of start-ups creation and highly-skilled professionals who had proven their abilities through the results achieved.
We are an experienced and cohesive team of enthusiasts who feel that our solutions will disrupt the market in several industries: solid waste sorting and ESG-management of plants, mining, laboratory research and R&D, geology, oil and gas, etc.
Our Method
We focus on the innovative method of hyperspectral imaging which allows us to develop products for various industries.
Hyperspectral imaging method is environmentally friendly, harmless for any living being and for many tasks it has a potential to substitute “dirty” methods such as chemical treatment or X-Ray.
Our strategic approach is building a full-stack company with complete cycle solutions from scratch to end product while having everything in-house: engineering, software development, hardware development and manufacturing, sales and marketing and customer support.
Our Mission
Ensure that every industrial plant in the world is sorting 100% of solid wastes and all 100% is recycled and re-used – to achieve ZERO waste produced by humans!
Develop a universal ore and minerals sorting tool to maximize sorting quality and speed with NO influence on the environment.
Disrupt, simplify and accelerate the industry of laboratory research by full automatization of initial data collection and data interpretation.
WINGSBEE is at integrated system for fully-automatic municipal solid waste (MSW) sorting by composition of hyperspectral imaging (NIR), color (VIS) and/or shape (AI, neural networks and deep learning).
Working principle
The WINGSBEE sorting machines technology is based on the determination and separation of different materials by method of hyperspectral analysis.
The sorting machine's sensors react to reflected light in the infrared range and determine the MSW material. The block of pneumatic valves takes the signal and at the moment of garbage passing over the corresponding valve, the stream of compressed air "shoots" fraction from the general stream of waste.
The separated flows move further down the process chain. To separate the whole flow of solid waste sorting machine s are set by cascade.
WINGSBEE
has 3 scanning modules – VIS, SWIR, MWIR.
SCANING MODULE
Photometric analysis (VIS)
- Dynamic range 70.8 dB
- Resolution 5 MP
- Shooting speed up to 20 000 fps
SORTING
Determination of materials by color, size and shape based on artificial intelligence
SCANING MODULE
Infrared spectroscopy (SWIR)
- Hyperspectral range 900 – 1 700 nm
- 224 spectral lines
- Shooting speed up to 15 000 fps
SORTING
Determination of materials by size and material in the short-wave infrared range.
SCANING MODULE
Infrared spectroscopy (MWIR)
- Hyperspectral range 5000 nm
- 224 spectral lines
- Shooting speed up to 15 000 fps
SORTING
Determination of black-colored materials by size and material in the mid-wave infrared range.
The sorting machine scans the item and outputs statistics at each point
PET – 69,2%
HDPE – 5,8%
PE– 25%
315х130 mm
Colour:
transparent, blue, blue/white
Sorting machine sizes
The model range of WINGSBEE solid waste sorting machine is designed according to standard European sizes. It could be easily integrated in the existing line of waste sorting complex.
We could easily design and engineer a WINGSBEE sorting machine to fit any specific space on the existing plant.
Specifications |
WINGSBEE sorting machine side ratio |
||||
| VIS 0.6 SWIR 0.6 MWIR 0.6 |
VIS 1.0 SWIR 1.0 MWIR 1.0 |
VIS 1.4 SWIR 1.4 MWIR 1.4 |
VIS 2.0 SWIR 2.0 MWIR 2.0 |
VIS 2.8 SWIR 2.8 MWIR 2.8 |
|
|---|---|---|---|---|---|
Belt width, mm |
600 |
1 000 |
1 400 |
2 000 |
2 800 |
Sorting machine width, mm |
1 100 |
1 500 |
1 900 |
2 500 |
3 300 |
Belt length, mm |
5 000 |
5 000 |
5 000 |
5 000 |
5 000 |
Sorting machine length, mm |
7 200 |
7 200 |
7 200 |
7 200 |
7 200 |
Sorting machine height, mm |
2 900 |
2 900 |
2 900 |
2 900 |
2 900 |
Power, kW/h |
6 |
7 |
8 |
9 |
10 |
Productivity, t/h |
2 |
3 |
5 |
6 |
10 |
Innovative solution
The special feature of WINGSBEE sorting machine is a high-speed hyperspectral camera and the material recognition analysis with deep-learning algorithm.
Municipal solid waste
Ferrous and non-ferrous metal scrap (household scrap)
Technical parameters of WINGSBEE solid waste sorting machines
| Parameter | Value |
|---|---|
Camera |
|
Maximum IR range |
5 000 nm |
Digital video camera resolution |
2464 x 2056 рх |
Shooting speed |
15 000 fps |
Analysis system |
Own proprietary software |
Lighting |
|
Lamps |
halogen |
Power |
2 000 W |
Lamp life |
4,000 h |
Pneumatic valves |
|
High-speed valves |
20 million openings |
The size of the fraction to be determined |
10-300 mm |
Minimum distance between nozzles |
10 mm |
Air supply |
8 bar |
Air consumption |
4,000 l/min |
Optical sorting machine |
|
Maximum performance |
10 t/h |
Maximum tape speed |
3.5 m/s |
Separation accuracy |
90 % |
Connection |
380 V |
RVD (high pressure hose) |
1” F |
LAN (Local area network) |
100 MB/s |
Power consumption without compressor |
5 kW |
Minimum operating temperature |
+5 оС |
Maximum installation weight |
2 700 kg |
WINGSBEE
solid waste sorting machine pictures
HYPER CORE is a laboratory digital optical hyperspectral system for identifying mineral composition and structure of rock cores, and creating interactive models of oil and gas reservoirs.
HYPER CORE operating principle is based on composition of hyperspectral imaging (NIR), color image (VIS) and/or neural networks and machine learning tools.
HYPER CORE is a unique tool demanded by any research laboratory or industrial plant (mining company or oil and gas production) that deals with rocks.
HYPER CORE
could solve following research tasks
01
Create detailed digital model (dataset) of any rock /wellsite / wellbore by machine recognition of structural and textural elements of rock cores or ore stones by using RGB and high-resolution hyperspectral scanning.
02
Automatic identification of lithological associations (sub-layers) in the digital model of rocks with mathematical evaluation of the fragmentation and density of lithotypes based on the identified elements.
03
Autoomatic detection of mineral composition of rocks and grain sizes distribution.
04
Creation of digital database of all laboratory researches and chaining the digital model (layering model) to the properties of structural units.
05
Prediction the properties of rock reservoirs to enhance resource exploitation.