AutoVu™ SharpV OS 14.3.0 includes important new features as well as updates for several bug fixes and security-related issues.
AutoVu MLC improvements
AutoVu MLC™ (Machine Learning Core), which replaces traditional rule-based ALPR technology, has been retrained with the following improvements:
- Vehicle model recognition
- SharpV OS can now identify not only the vehicle make (for example, Honda), but also
the vehicle model (for example, Civic). The Vehicle make analytic has been
renamed Vehicle make and model. When the analytic is enabled, the camera attempts
to identify the make and model and then includes the results in the license plate read
metadata.NOTE: For best results, the street should have adequate lighting. Ensure that the entire vehicle appears in the image and that two sides of the vehicle are visible. As the training of AutoVu MLC continues, you can expect further advancements in SharpV analytics.
- USA ALPR improvements
- The following improvements were made to plate state recognition in the USA:
- Temporary plate recognition
- SharpV OS now recognizes temporary paper license plates that are issued to
vehicles until the official license plates are delivered.
If the SharpV unit is configured to export license plate reads to an SFTP server, you can include temporary license plate metadata in the export. For information about modifying the FTP template, see this topic on the TechDoc Hub.
- Accessible parking plate recognition
- SharpV OS now recognizes the accessible parking license plates that are issued
to drivers with special parking privileges.
If the SharpV unit is configured to export license plate reads to an SFTP server, you can include accessible parking plate metadata in the export. For information about modifying the FTP template, see this topic on the TechDoc Hub.
- Improved plate origin accuracy
- The ability of SharpV OS to identify a plate's state of origin has been improved. If the plate origin cannot be identified, the system outputs an Unknown state name.
General enhancements
- Send reads using SFTP
- You can now configure SharpV units to send license plate reads using SFTP (SSH File
Transfer Protocol). The FTP extension has been renamed FTP/SFTP. The
encrypted SFTP data stream is more secure than FTP, offering enhanced protection during
file transfers.NOTE: While FTP is still supported, it is not secure and we recommend using SFTP instead.
- Export plate corner coordinates
- SharpV license plate read metadata now includes the coordinates of the license plate corners, as they appear in the Sharp Portal.
- Cloudrunner device enrollment using Azure IoT Hub
- SharpV cameras now enrol to AutoVu Cloudrunner™ using Microsoft Azure IoT Hub, allowing for improved scalability of Cloudrunner systems.
ALPR regional contexts
- New ALPR regional contexts
- The following ALPR regional contexts are now available in the
Analytics page of the Sharp Portal:
- America - General context for countries in North America, Central America, and South America.
- Austria
- Brazil Only *
- Estonia
- Latvia
- LatviaVanity - Reads plates with 3 characters.
- Thailand
* Restricted to Brazil plates only, to reduce false positives.
- Improved ALPR regional contexts
- The following ALPR regional contexts have been improved:
- Australia
- Improved detection of black plates with white writing. Improved detection of red plates with white writing.
- Denmark
- Improved performance.
- Lebanon
- Now supports plates with Latin characters only.
- Michigan
- Now supports stacked characters.
- North Carolina
- Now supports plates with up to 8 characters.
- Spain
- Improved performance.
- Removed ALPR regional contexts
- The following ALPR regional contexts are no longer supported:
- Japan
- Korea
For more information on available regional contexts, see Supported ALPR contexts.