Communicates the ultra-compact physical size of the USB fingerprint reader (20.6mm x 17mm x 12mm) to reassure shoppers it won't take up much space and is highly portable. Highlights the fingerprint…

ARCANITE USB Fingerprint Reader for Windows 11/10 Hello Desktop: Dimension Images

Communicates the ultra-compact physical size of the USB fingerprint reader (20.6mm x 17mm x 12mm) to reassure shoppers it won't take up much space and is highly portable. Highlights the fingerprint security feature and Windows Hello compatibility to show shoppers the product provides convenient and secure biometric authentication.

Brand
ARCANITE
Category
Electronics › Security & Surveillance › Biometrics
Image type
Dimension Images, Single Benefit Images, Secondary Images
Design focus
Compact Dimensions; Fingerprint Security; Windows Hello Compatibility
Listing position
Image 7
Marketplace
United States
Best Sellers Rank
#5,127 in Our Brands (See Top 100 in Our Brands) #47 in Security & Surveillance Biometrics
Full listing
See all 8 images in order
ASIN
B07VK71TST
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What this image does at a glance

Score
28 / 100 · Unreadable small
Headline
20.6mm
Headline height
5.6% of the image
Headline contrast
Lc 56
Text on the image
4.7% of the image, 11 blocks
Blurred to tile size
headline no longer readable
  • numerals text "000000000000001111111000" is 3.7% of height, needs 8.5%
  • headline unreadable at phone-tile blur

Listing bullet points

  • Log in faster and more securely - Designed specifically for Windows 11, 10 with Hello features. *Not compatible with Windows 7, 8, MAC, Linux or any other OS.
  • 360 Degrees Detection - Fingerprints can be read from any angle in 360 Degrees.
  • Advanced Protection - Safely protect your logins and data with state-of-the-art fingerprint security.
  • Lightning fast authentication in just 0.05 seconds with smart learning algorithm. Store up to 10 fingerprints in parallel.
  • Plug and play detection setup through Windows 10, 11 Hello operating system. Setup Language available in multiple languages. (Based on system language detection)

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