File:Optical Character Recognition Project on Credit Card Number Recognition in iOS Application.webm

From Wikimedia Commons, the free media repository
Jump to navigation Jump to search

Original file(WebM audio/video file, VP8/Vorbis, length 55 s, 1,920 × 1,080 pixels, 1.46 Mbps overall, file size: 9.61 MB)

Captions

Captions

Add a one-line explanation of what this file represents

Summary

[edit]
Description
English: This app, developed by Azoft R&D team, uses optical recognition to read credit card numbers through an iPhone camera. Project details: http://rnd.azoft.com/optical-recognition-ios-application/
Date
Source Own work
Author Vladimir Tchernitski

Licensing

[edit]
I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current10:38, 2 August 201355 s, 1,920 × 1,080 (9.61 MB)Vladimir Tchernitski (talk | contribs)User created page with UploadWizard

There are no pages that use this file.

Transcode status

Update transcode status
Format Bitrate Download Status Encode time
VP9 1080P 1.13 Mbps Completed 10:51, 16 January 2022 2 min 38 s
Streaming 1080p (VP9) Not ready Unknown status
VP9 720P 514 kbps Completed 10:51, 16 January 2022 1 min 43 s
Streaming 720p (VP9) Not ready Unknown status
VP9 480P 271 kbps Completed 10:51, 16 January 2022 1 min 12 s
Streaming 480p (VP9) Not ready Unknown status
VP9 360P 154 kbps Completed 10:50, 16 January 2022 54 s
Streaming 360p (VP9) Not ready Unknown status
VP9 240P 92 kbps Completed 10:50, 16 January 2022 38 s
Streaming 240p (VP9) 89 kbps Completed 21:21, 6 February 2024 1.0 s
WebM 360P 506 kbps Completed 10:50, 16 January 2022 31 s
Streaming 144p (MJPEG) 775 kbps Completed 13:07, 17 November 2023 3.0 s
Stereo (Opus) 2 kbps Completed 08:02, 25 November 2023 1.0 s
Stereo (MP3) 126 kbps Completed 13:07, 17 November 2023 1.0 s