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Description
Cutting-edge video monitoring software that leverages top-tier technology to deliver optimal performance tailored to various needs. This comprehensive IP video management platform features sophisticated alarm management and automation capabilities for managing events and occurrences, all within a single, reliable, and user-friendly system that simplifies configuration and operation. Our fully integrated automated license plate reader solution works seamlessly with the video management system, offering automation alerts and alarms, pre-set actions, and insightful statistical graphs, along with compatibility with third-party systems. The software allows for the capture, remote control, and recording of screens on Windows-based computers, making it an excellent choice for Call Centers, Headless Server Controls, and third-party software oversight. Furthermore, it enables live applied intelligence without the necessity of video monitoring, triggering proactive responses to programmed behavioral scenarios while generating automatic events and alarms, all of which contribute valuable statistical data for business intelligence applications. This all-encompassing solution not only enhances security measures but also optimizes operational efficiency across various industries.
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.
API Access
Has API
API Access
Has API
Integrations
ActiveScale
AppVision™
BriefCam
CredoID
Quantum VS-NVR Series
Integrations
ActiveScale
AppVision™
BriefCam
CredoID
Quantum VS-NVR Series
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
Digifort
Founded
2002
Country
Brazil
Website
digifort.com.br/
Vendor Details
Company Name
NtechLab
Founded
2015
Country
Russia
Website
ntechlab.com/findface-multi/
Product Features
Physical Security
Checkpoint Tracking
Customer Management
Data Collection
Event Management
Incident Management
Investigation Management
Multiple Alarm Queues
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