Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Enhancing products fourfold through the application of computer vision in various sectors! Instead of relying on a security guard to jot down vehicle numbers, you can now monitor in real-time from any location using your computer or mobile device. Our well-designed, user-friendly applications provide features such as wrong route detection, helmet absence alerts, triple riding identification, no-entry vehicle alerts, and overspeed detection, all utilizing standard ANPR cameras. Fast tag systems also require visual surveillance, allowing you to cross-reference fast-tag data with visually captured vehicle numbers, classifications, makes, and models. Additionally, we can accurately measure the duration vehicles spend at toll booths with an impressive accuracy rate exceeding 98%. Our deep learning-based Optical Character Recognition (OCR) technology has successfully processed millions of documents, achieving an astounding accuracy of over 99.99%. Envision the possibilities at scale with A-EYE and its robust systems, which are rigorously tested under extensive conditions! From automatic number plate recognition to smart city traffic monitoring and efficient text detection for handwritten characters, the future of technology is here. As industries continue to evolve, our innovative solutions are poised to reshape the landscape of surveillance and data accuracy.
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.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
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
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
A-EYE
Country
India
Website
www.a-eye.ai/
Vendor Details
Company Name
ASL LLC
Founded
2017
Country
United States
Website
autosecurelogin.com/products/platescan.html