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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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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

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

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