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Average Ratings 0 Ratings
Description
ASL PlateScan is an innovative early-access application for Android that enables users to capture images of license plates or select from pre-existing photos, which are then processed by Auto Secure Login's recognition technology for character analysis, allowing users to view the recognized characters along with a cropped image of the plate. In addition to submitting images, users can specify details such as their country, state or province, and vehicle type, as well as indicate the accuracy of the result, edit the detected text, or flag a missed license plate, with the option to bypass feedback. The application requires an internet connection, does not necessitate user registration, and supports both English and Spanish languages for its interface. To enhance the performance of the recognition system, submitted images, along with their respective crops and responses, are stored, although users have the option to remove their submissions using unique IDs. This free Android app stands out as the sole publicly accessible component of PlateScan, while the larger computer-based framework continues to function as a research initiative, lacking any public installation or customer-driven deployment options. As such, it represents a significant step forward in license plate recognition technology for everyday users.
Description
The cutting-edge Vaxtor LPR engine, initially designed for PC environments, is now seamlessly integrated into both Axis and Mobotix cameras, enabling instantaneous license plate recognition along with crucial meta-data collection. By employing embedded license plate recognition systems, organizations can significantly reduce network bandwidth usage and hardware expenses while enhancing the system's overall reliability and robustness. This solution is crafted to function effectively within real-world network environments, effectively eliminating single points of failure, and adopting an edge-based strategy enhances performance while lowering the total cost of ownership. VaxALPR features built-in black/white list capabilities directly within the camera, ensuring that access control measures and local alerts remain operational at all times. Furthermore, it provides additional meta-data such as direction of travel, country of origin, type of license plate, time and date of capture, GPS coordinates, and confidence levels, along with the option to integrate MMC and VClass for vehicle type classification, thereby empowering your edge-based traffic management systems. With these advanced features, users can expect not only improved efficiency but also a more comprehensive understanding of traffic patterns and vehicle movements.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
AXIS Camera Station
No
Axon Fusus
No
Genetec Security Center
No
i-PRO Video Insight
No
Integrations
AXIS Camera Station
Yes
Axon Fusus
Yes
Genetec Security Center
Yes
i-PRO Video Insight
Yes
Pricing Details
Free
The Android photo-contribution app is free. Any future property-system deployment would be quoted per site; the full system is not currently available for customer installation.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
ASL LLC
Founded
2017
Country
United States
Website
autosecurelogin.com/products/platescan.html
Vendor Details
Company Name
Vaxtor
Country
Spain
Website
www.vaxtor.com/products/vaxalpr/on-camera/