Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CVEDIA-RT is our advanced AI software suite that comes equipped with numerous video analytics and computer vision tools right out of the box. It is designed to be user-friendly, allowing for easy configuration and customization tailored to your specific needs, regardless of whether you have a technical background. With a single, affordable price, you gain access to our complete range of AI solutions, both current and future, enabling you to explore new possibilities and enhance your AI capabilities without any risk. Should you need features that are not available or wish to operate on a different device, we are more than willing to create custom solutions that meet your unique specifications. Feel free to contact us for a complimentary consultation! What distinguishes us from other providers is our innovative approach to using synthetic data. Our analytics deliver higher accuracy, speed, and cost-effectiveness compared to conventional methods. We understand that your team is busy and facing tight deadlines; therefore, if you prefer, we can manage everything from the development phase to the integration of analytics, allowing you to focus solely on building your product around it while we handle the technical details. Additionally, our commitment to customer support ensures that you are never alone on this journey.
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
No
API Access
Has API
Yes
Integrations
C++
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
CVEDIA
Country
Singapore
Website
www.cvedia.com
Vendor Details
Company Name
NtechLab
Founded
2015
Country
Russia
Website
ntechlab.com/findface-multi/
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No
Emotion Recognition
Facial Emotions
No
Facial Expression Analysis
No
Machine Learning
No
Photo Emotions
No
Speech Emotions
No
Video Emotions
No
Written Text Emotions
No