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What is SentiVeillance SDK?

The SentiVeillance SDK is designed specifically for developing applications that perform biometric facial recognition, monitor moving pedestrians, vehicles, or various objects, and automatically identify license plates using live feeds from digital surveillance cameras. This software development kit supports passive identification, allowing it to recognize individuals without any need for them to take intentional steps for identification. Its potential use cases are extensive, encompassing areas like law enforcement, security services, attendance monitoring, visitor counting, traffic management, and numerous commercial applications. By incorporating SentiVeillance technology, users can benefit from real-time facial recognition alongside the classification and tracking of both pedestrians and vehicles. The technology is optimized for multi-core processors, ensuring high-speed processing capabilities. Moreover, SentiVeillance can process data from recorded video files, functioning in real-time as if it were receiving input from a virtual camera or operating at maximum efficiency based on the hardware resources available. This versatility makes it suitable for deployment in a wide range of environments, adapting effectively to various operational needs. Such adaptability further enhances its appeal in an ever-evolving technological landscape.

What is Carmen Axis Video Application?

The Carmen® Axis Video Application greatly enhances Axis cameras by incorporating advanced features like Automatic Number Plate Recognition (ANPR) and Make and Model Recognition (MMR). Users have multiple deployment options at their disposal, such as leveraging cloud processing via Carmen® Cloud for greater scalability and accessibility on a global scale, or selecting on-camera processing that ensures secure and reliable operation without the necessity for additional hardware. This application boasts exceptional accuracy in identifying license plates worldwide, allowing for real-time vehicle data collection applicable in areas like traffic management, security protocols, and access control systems. Its ability to integrate smoothly and provide flexible licensing solutions makes it a highly effective option designed to accommodate various operational needs. Furthermore, the application is equipped with a user-friendly interface that enhances usability for operators across different settings, making it accessible for a wide range of users. Overall, its robust features and adaptability position it as a leading choice in the market.

Media

Media

No images available

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

Neurotechnology

Date Founded

1990

Company Location

Lithuania

Company Website

www.neurotechnology.com/sentiveillance.html

Company Facts

Organization Name

Adaptive Recognition

Date Founded

1991

Company Location

Hungary

Company Website

adaptiverecognition.com

Categories and 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

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