NEC Corporation and NEC Technologies India Private Limited (NECTI) announced that they will establish a FIWARE Lab node in India...
NEC Corporation today announced it has developed automatic optimization technology for deep learning in order to facilitate improvements in recognition accuracy...
mIDoT analyzes camera images with a specialized algorithm to quickly and accurately recognize tiny patterns in the ink of individual dots, which are difficult to duplicate or identify with the naked eye. Due to random particles in the ink, identical patterns are unlikely to be formed, enabling each 1 mm dot to become one of the smallest and most reliable identification tags in the world.
Compared to conventional technologies, such as barcodes, mIDoT does not require the use of printing or glue. Dots can be easily applied to a wide range of objects by automated machines, or even by hand, enabling the technology to be conveniently used by anyone, anywhere to identify products or property. Moreover, dots can be identified by using a database in the cloud, enabling physical objects to be linked with digital data.
"This technology is expected to be used for a broad range of applications, including identification tags for ultra-small electronic components and products which are too small for the use of barcodes; tags for managing goods that are lent or taken out; keys and tickets used for access control; and identification tags for linking physical objects with digital data in the cloud," said Akio Yamada, General Manager, Data Science Research Laboratories, NEC Corporation.
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