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Ratings and Reviews 0 Ratings
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What is IntelliVision?
IntelliVision's facial recognition technology efficiently scans an existing database of faces and matches them with those captured in real-time to identify individuals. This Face Recognition capability can detect as many as 15 faces at once within the camera’s field of view, while meticulously cross-referencing them with images stored in the database. The software employs anti-spoofing techniques through "liveness" testing, which does not necessitate the use of stereo or 3D cameras for effective verification. Users have the flexibility to populate the database with faces sourced from still images or directly from the live video feed. Over the years, the License Plate Recognizer from IntelliVision has progressed to meet the challenges posed by fast-moving vehicles and varying speeds, essential in effective vehicle monitoring. As a leading provider of embedded smart camera analytics for Smart Home and IoT OEMs, IntelliVision also excels in motion detection, facial recognition, and the identification of various subjects including humans, vehicles, and pets, in addition to offering audio analytics. This comprehensive suite of features underscores IntelliVision's dedication to improving security and convenience in contemporary technological solutions. Ultimately, their innovations reflect a commitment to staying ahead in the rapidly evolving landscape of smart technology.
What is A-EYE?
Maximizing product efficiency by a factor of four through the implementation of computer vision technology across diverse industries! Say goodbye to the conventional security guard who manually logs vehicle numbers. With our advanced solutions, you can monitor operations in real-time from any device, whether it’s a computer or a mobile phone. Our intuitive and visually appealing applications offer a range of features, including wrong route identification, detection of riders without helmets, passenger monitoring, unauthorized vehicle entry alerts, and speed limit enforcement, all powered by standard ANPR cameras. Unlike fast tag systems that require visual checks for verification, our approach involves comparing fast-tag records with visual detections of vehicle information, such as numbers, classifications, makes, and models, allowing us to accurately assess toll booth duration with over 98% precision. Furthermore, our deep learning-based optical character recognition (OCR) has successfully processed text from millions of documents, achieving a remarkable accuracy of 99.99%. When considering the extensive capabilities and scale of A-EYE and its tried-and-true systems, it becomes clear that we are leaders in automatic number plate recognition, advanced traffic monitoring for smart cities, and the detection of handwritten characters, providing thorough monitoring solutions. Our dedication to innovation not only sets us apart but also places us at the cutting edge of technological progress in the fields of surveillance and data analysis. Embrace the future of monitoring with A-EYE, where technology meets efficiency.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
On-Site Training
Company Facts
Organization Name
IntelliVision
Date Founded
2002
Company Location
United States
Company Website
www.intelli-vision.com
Company Facts
Organization Name
A-EYE
Company Location
India
Company Website
www.a-eye.ai/
Categories and Features
Automatic License Plate Recognition (ALPR)
Not specified
Facial Recognition
Not specified
Smart City
Not specified
Video Analytics
Not specified
Video Surveillance
Not specified
Categories and Features
Automatic License Plate Recognition (ALPR)
Not specified
Smart City
Not specified