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What is Carmen® Mobile?

Carmen® Mobile is a cutting-edge Android application that transforms your smartphone into an efficient tool for Automatic Number Plate Recognition (ANPR) and Make and Model Recognition (MMR). Users can effortlessly gather essential information such as license plate numbers, vehicle makes, models, colors, timestamps, and GPS locations from both moving and stationary vehicles. With coverage for over 38,000 plate types and more than 230 vehicle models across Europe, North America, and additional regions, Carmen® Mobile ensures accurate identification in a variety of environments. The app features multiple operational modes, such as in-motion, fixed position, and parking, allowing it to adapt to diverse monitoring requirements. Furthermore, its integration with cloud-based ANPR services facilitates seamless data processing and the capability to upload events to designated servers via FTP or REST API. This adaptability makes Carmen® Mobile a valuable asset for traffic surveillance, parking enforcement, and bolstering security measures. The user-friendly interface, combined with its powerful functionalities, positions this app as the perfect solution for professionals seeking dependable vehicle recognition technology. Ultimately, Carmen® Mobile stands out in its field, offering innovative features that cater to various user needs.

What is A-EYE?

Maximizing product efficiency by a factor of four through the implementation of computer vision technology across diverse industries! Say goodbye to the conventional security guard who manually logs vehicle numbers. With our advanced solutions, you can monitor operations in real-time from any device, whether it’s a computer or a mobile phone. Our intuitive and visually appealing applications offer a range of features, including wrong route identification, detection of riders without helmets, passenger monitoring, unauthorized vehicle entry alerts, and speed limit enforcement, all powered by standard ANPR cameras. Unlike fast tag systems that require visual checks for verification, our approach involves comparing fast-tag records with visual detections of vehicle information, such as numbers, classifications, makes, and models, allowing us to accurately assess toll booth duration with over 98% precision. Furthermore, our deep learning-based optical character recognition (OCR) has successfully processed text from millions of documents, achieving a remarkable accuracy of 99.99%. When considering the extensive capabilities and scale of A-EYE and its tried-and-true systems, it becomes clear that we are leaders in automatic number plate recognition, advanced traffic monitoring for smart cities, and the detection of handwritten characters, providing thorough monitoring solutions. Our dedication to innovation not only sets us apart but also places us at the cutting edge of technological progress in the fields of surveillance and data analysis. Embrace the future of monitoring with A-EYE, where technology meets efficiency.

Media

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Adaptive Recognition

Date Founded

1991

Company Location

Hungary

Company Website

adaptiverecognition.com

Company Facts

Organization Name

A-EYE

Company Location

India

Company Website

www.a-eye.ai/

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