The enterprise access control division of L-1 Identity Solutions has revolutionized the architecture of its 3D face reader product with the help of eXtremeDB Fusion DBMS from McObject and DaVinci Technology from Texas Instruments (News
) (TI). The processing “smarts” have been moved from a connected sever to the device itself in order to deliver a new level of speed and convenience for users. L-1 has chosen TI’s TMS320DM6446 digital media processor based on DaVinci technology as the key processing hardware for its performance, form factor and efficiency.
To bring about this change, L-1 integrated new components that could help implement its all-embedded vision for the device. Hardware and software that play key roles in the device consist of eXtremeDB Fusion, an off-the-shelf embedded database used to store both facial parameters and usage logs within the face reader and Digital media processors based on DaVinci technology from TI that combines a general purpose core with powerful image processing.
The face reader system is able to complete key computing tasks including image processing and facial search and matching on the device. This is done by eliminating its back-end industrial server which saves on shipping cost and installation complexity. Space requirements are also minimized which enables security technology to be unobtrusive in high traffic workplaces.
The 3D face reader also upgrades proprietary data management code with eXtremeDB Fusion, which is a commercial, off-the-shelf embedded database system. Usage of this database reduces development and quality assurance cycles. Support for transactions and automatic recovery ensures stable, continuous unattended operation.
“The project illustrates how benefits such as performance, ease of development, desired form factor and low production costs are often secured early in a product’s life, at the stage of comparing and choosing technology building blocks,” said Steve Graves, CEO and co-founder of McObject, in a statement.
McObject provides data management technology that makes real-time systems smarter, more reliable and more cost-effective to develop and maintain.
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Calvin Azuri is a contributing editor for TMCnet. To read more of Calvin's articles, please visit his columnist page.
Edited by Mae Kowalke