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Description
The NtechLab platform is designed to analyze video content, identifying human faces, bodies, actions, vehicles, and license plates with impressive precision. Utilizing advanced AI technology, it achieves exceptional speed and accuracy, setting new standards for recognition capabilities. The FindFace Multi system enhances this by offering multi-object recognition and analytical features, which are particularly beneficial for both public sector applications and various business needs. This technology enables swift and precise identification of faces, human forms, cars, and license plates in real-time video feeds or archived footage. Users can search through databases or archives not only by image samples but also by distinctive characteristics such as age, clothing color, or vehicle type. The dedicated team at NtechLab is continually refining these recognition algorithms to boost their effectiveness and precision further. With FindFace Multi, the process of detecting a face in live video, recognizing it, and finding a corresponding match in a vast database can be accomplished in under a second, making it an invaluable tool for real-time surveillance and analysis. Furthermore, this rapid response capability ensures that users can act promptly on the information gathered, enhancing security and operational efficiency.
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
Integrations
No details available.
Integrations
No details available.
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
NtechLab
Founded
2015
Country
Russia
Website
ntechlab.com/findface-multi/
Vendor Details
Company Name
Neurotechnology
Founded
1990
Country
Lithuania
Website
www.neurotechnology.com/sentiveillance.html
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
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