Meet algorithmic AI optimisation and lightweighting to reduce arithmetic requirements and cover a wider range of deployment platforms.
Scene Adaptation
Various pre-processing algorithms can be used to remove a variety of environmental interference factors, adapting to complex practical application scenarios.
High analytical precision
Combines spectral and image information from hyperspectral spectroscopy to accurately predict the composition of the object to be measured.
Small sample learning
Relying on hyperspectral data characteristics, reducing the dependence on the number of training samples and lowering deployment cycle and cost.
both imaging, and can be able to obtain the two-dimensional space of spectral information, each point in the region for spectral measurement, output hyperspectral images
Accurate measurement
the material in many scenes is not homogeneous, but the material composition content can be analyzed for each space point respectively, and the spatial distribution map can be output
Fast speed
stepless adjustment, any number of bands, according to different scenarios for band selection
Based on the company's MEMS hyperspectral imaging technology, providing Hyperspectral camera module, hyperspectral camera and other core components
Multi-industry empowerment
to empower industrial testing, smart home, environmental protection and security, medical and health care, smart phones and other fields, and to promote industrial intelligent and digital upgrading
Hyperperception experience
"4D hyperperception, everything can be measured", creating a new hyperperception visual experience for multiple industries
Shenzhen Hypernano Optical Technology Co., Ltd.(Hypernano) won the "Visual System Design" with its independently developed Micro Hyperspectral MEMS Sensors with the highest score since the event was founded. 》Innovation Award 2023, the highest honor "Platinum Award".
On May 31, 2023, the list of technology unicorn enterprises and potential technology unicorn enterprises in Shenzhen was released. Hypernano is currently the only enterprise selected in the hyperspectral field