Releases: veryfi/veryfi-lens-long-receipts-android-demo
Releases · veryfi/veryfi-lens-long-receipts-android-demo
1.7.3.36
What's Changed
- Added Fraud Detection to Checks
- Get the country code from the contry network instead of the SIM provider
- Reduced CameraAnalyzer memory footprint
- Fixed an issue where analytics was sending wrong parameters
- Fixed some crashes in Lens Demo
- Fixed a crash when showing a passport
- Sync Meta data between Android Lens and iOS
1.7.3.35
1.7.3.34
What's Changed
- Added
Any Document
entry to the demo app, which allows the selection of blueprints - Added
anyDocumentTemplate
andcameraProcessingMode
for Any Documents - Added autocapture modes (
Fast
,Normal
,Accurate
) to the demo app settings - Reduced email notifications related to Amazon S3 issues
- Fixed a crash when parsing an invalid color string
- Removed READ_MEDIA_IMAGES permission
- Check GPU if the document detector fails
- Send Uploading Time for Analytics
1.7.3.33
What's Changed
- Added
computeIsOn
setting that tells Veryfi whether compute feature should be enabled - Added
submitWithoutClose
setting that allows keeping submit screen alive after submit - Fixed an issue where
VeryfiLens.showDocumentBrowser()
was not responding
1.7.3.32
1.7.3.31
What's Changed
- Added
autoCaptureOtherIsOn
setting to toggle auto-capture only forother
document type - Updated LCD model to v12
- Fixed an issue with some unit tests on API level 34
- Fixed issue when reporting errors to analytics endpoint
- Select
defaultSelectedDocumentType
if there is no selected document type
1.7.3.30
1.7.3.29
What's Changed
- Normalized lcd data structure
- Fixed some crashes on Android devices
- Fixed spanish mistranslation
- Added setting autoCaptureFrameConfidence that enables changing the count of valid frames before taking an autocapture
- Added
blurDetectionInAutocaptureIsOn
setting to toggle blur detection for auto-captured images - Improved the autocapture functionality
- Fixed and issue where short receipt is not being selected
- Fixed an issue where images from gallery where detected as LCD
- Added unit tests for MLKIT OCR