Hypernano Hyperspectral MEMS Sensor won the Platinum Award in "Vision System Design"


Author: Hypernano


On September 22, 2023, the "Visual System Design" Innovation Awards 2023 (VSDC Innovators Awards 2023) award ceremony, an annual event in the machine vision industry, was grandly held in Shanghai.

In this selection event, after strict review by expert judges, 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".

Hypernano won the Platinum Award for Visual System Design

Hyperspectral super-perceptual visual imaging technology

Sea-spectrum nano-hyperspectral imaging technology can realize direct detection of materials and components including solids, liquids, and gases. It can detect a wide range of substances. It is the next generation of super-sensory visual imaging technology after 2D and 3D vision technology.

2D and 3D vision technology, as an integral part of the field of machine vision, plays a major role in the realization and innovation of industrial automation. Hyperspectral imaging technology breaks through the limitations of traditional two-dimensional images and three-dimensional space information acquisition. By analyzing spectral characteristics The collection method visualizes material composition information, making up for the shortcomings of traditional visual technology in making material composition information "invisible" and completing further revolutionary innovations in machine vision.

Principle of sea spectrum nano-hyperspectral imaging technology

Industry leader in industrialization of micro hyperspectral technology

As an emerging detection technology, hyperspectral imaging technology effectively combines the advantages of imaging and spectroscopy technology. It has technical advantages such as non-destructive, non-contact, and fast, and can simultaneously obtain spectral information and spectral information of internal and external quality characteristics of the detected target. spatial information and perform further analysis and processing. The early applications of hyperspectral technology can be traced back to satellite space remote sensing and measurement. In recent years, it has been gradually used in industrial detection, smart agriculture, ecological environmental protection, smart home appliances, biomedicine and other fields.

The application of traditional hyperspectral technology has many shortcomings such as bulky size, high price, and difficult operation. It has always been difficult to "come out" from the laboratory. Through years of technical research and development, Hypernano has achieved a complete solution from chip design, optical modules, and products. From cameras to algorithm implementation to application scenarios, we took the lead in mass-producing the world's first miniature hyperspectral imaging MEMS chip, solving the industry problems of hyperspectral imaging engineering, high cost and mass production.

Hypernano Hyperspectral MEMS Chips and Series Products

Empowering machine vision technology upgrade‍

Hypernano Micro Hyperspectral Imaging MEMS Sensor is a new optical image sensor that can achieve real-time online, qualitative and quantitative analysis of material molecules at the molecular level by simply taking pictures, giving AI vision "one more dimension" of information, making artificial intelligence a comprehensive information perception system .

Using hyperspectral imaging technology combined with machine learning model training methods, material components can be accurately identified without damaging the object, providing an efficient and scientific detection method and basis for industrial batch detection.

Technology application
_Hyperspectral technology can be applied to industrial automation scenarios such as item classification, screening and grading, and automatic sorting.

Impurity testing: Collect material composition information and detect impurities present in pharmaceutical and food production;

Precision electronics: Obtain the material characteristics of the non-visible light part of precision devices, and output the results according to the detection indicators;

Tobacco leaf sorting: collect tobacco leaf material composition and structural information, such as oil content, thickness, etc., to complete tobacco leaf classification;

Surface residue: Detect and eliminate substances such as fingerprints and hair that may exist during the production process;

Garbage classification: Identify and sort garbage with different components based on the spectral differences of different items;

_Meat internal and external quality analysis

Different from traditional meat quality analysis methods that are destructive, cumbersome, and cannot obtain real-time results, hyperspectral imaging technology can accurately analyze the overall composition of meat products through non-contact, non-destructive, and large-area photography. Analysis, realizes diversified detection of meat freshness, fat, protein, etc., outputs internal and external quality and safety indicators in real time, and completes screening according to quality.

Using hyperspectral imaging technology to detect meat freshness

As a leader in the new generation of visual perception technology, Hypernano takes micro-hyperspectral imaging technology as its core and is currently in a stage of rapid development. Its technology and products have been used in security identification, medical beauty, industrial testing, environmental monitoring, smart home appliances, food With layout in detection and other fields, it has reached cooperation and completed delivery with a number of listed companies, central enterprises and Fortune 500 companies. Hypernano is actively building a hyperspectral imaging technology ecological chain cluster, continuing to delve into the field of hyperspectral technology, and empowering people in various industries. Technological industrial upgrading.

Hypernano hyperspectral technology is widely used