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Description
Carmen® Cloud is an innovative cloud-based solution for Automatic Number Plate Recognition (ANPR) that utilizes cutting-edge machine learning techniques to accurately identify license plates, as well as the make, model, and color of vehicles in more than 200 nations. The system's algorithms are designed to be dynamic, allowing them to continuously evolve and maintain dependable performance even in challenging environments.
With the convenience of a single API call, it enables easy access to ANPR, Make and Model Recognition (MMR), and Hazard Identification Number Recognition (ADR), facilitating quick implementation in various contexts such as traffic surveillance, parking systems, and security measures. Carmen® Cloud's robust and scalable architecture can handle varying operational demands, ensuring rapid insights without any delays or bottlenecks.
The solution's worldwide applicability and flexible deployment options make it an ideal choice for organizations that require reliable and precise vehicle recognition solutions, ultimately enhancing their operational efficiency and security measures. Furthermore, its adaptability to different scenarios underscores its significance in modern vehicle management systems.
Description
The SentiVeillance SDK is tailored for creating applications that execute biometric facial recognition, track moving pedestrians, vehicles, or various objects, and automatically recognize license plates through live feeds from digital surveillance cameras. This SDK facilitates passive identification, meaning it can recognize individuals without requiring them to take any deliberate action to be identified. Its potential applications span various fields such as law enforcement, security services, attendance tracking, visitor counting, traffic oversight, and a range of commercial uses. By leveraging SentiVeillance technology, users can achieve real-time face recognition, as well as the classification and tracking of pedestrians and vehicles. Optimized for multi-core processors, the technology ensures rapid processing capabilities. Additionally, SentiVeillance can also handle data from recorded video files, enabling processing either in real-time as if sourced from a virtual camera or at maximum speed, contingent on the available hardware resources. This flexibility allows for versatile deployment in diverse environments.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
AWS Marketplace
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Adaptive Recognition
Founded
1991
Country
Hungary
Website
carmencloud.com
Vendor Details
Company Name
Neurotechnology
Founded
1990
Country
Lithuania
Website
www.neurotechnology.com/sentiveillance.html
Product Features
Product Features
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development
