Communicates the fast authentication speed of the fingerprint reader to reassure shoppers that login is quick and secure. Highlights the core benefit of speed and security through biometric…

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

Communicates the fast authentication speed of the fingerprint reader to reassure shoppers that login is quick and secure. Highlights the core benefit of speed and security through biometric authentication, making login convenient and safe.

Brand
ARCANITE
Category
Electronics › Security & Surveillance › Biometrics
Image type
Key Stat Images, Single Benefit Images, Secondary Images
Design focus
0.05 second authentication speed; Fast and secure fingerprint authentication
Listing position
Image 5
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
5 / 100 · Unreadable small
Headline
Windows Hello,
Headline height
14.7% of the image
Headline contrast
Lc 0
Text on the image
13.8% of the image, 11 blocks
Blurred to tile size
headline no longer readable
  • lower text "Windows Hello," is 14.6% of height, needs 5.5%
  • headline contrast below APCA minimum (Lc 0)
  • headline unreadable at phone-tile blur
  • 15 separate text blocks

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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