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Description
Enhancing products fourfold through the application of computer vision in various sectors! Instead of relying on a security guard to jot down vehicle numbers, you can now monitor in real-time from any location using your computer or mobile device. Our well-designed, user-friendly applications provide features such as wrong route detection, helmet absence alerts, triple riding identification, no-entry vehicle alerts, and overspeed detection, all utilizing standard ANPR cameras. Fast tag systems also require visual surveillance, allowing you to cross-reference fast-tag data with visually captured vehicle numbers, classifications, makes, and models. Additionally, we can accurately measure the duration vehicles spend at toll booths with an impressive accuracy rate exceeding 98%. Our deep learning-based Optical Character Recognition (OCR) technology has successfully processed millions of documents, achieving an astounding accuracy of over 99.99%. Envision the possibilities at scale with A-EYE and its robust systems, which are rigorously tested under extensive conditions! From automatic number plate recognition to smart city traffic monitoring and efficient text detection for handwritten characters, the future of technology is here. As industries continue to evolve, our innovative solutions are poised to reshape the landscape of surveillance and data accuracy.
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
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
Mac
No
Linux
No
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)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
A-EYE
Country
India
Website
www.a-eye.ai/
Vendor Details
Company Name
NtechLab
Founded
2015
Country
Russia
Website
ntechlab.com/findface-multi/
Product Features
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
