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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

3deye is a comprehensive cloud-based video surveillance and artificial intelligence analytics platform that upgrades existing cameras, NVRs, IoT devices, drones, and body-worn equipment into smart video sensors without the need for on-premises servers or hardware, as it consolidates both live and recorded footage into a web-oriented solution that accommodates multi-site and multi-brand installations while removing the necessity for bridges or gateways. It features an administrative interface, a video management portal, an alarm monitoring system, a billing module, and dedicated mobile applications for both iOS and Android, all designed on the AWS infrastructure to ensure high availability, cybersecurity for streaming, and scalable options. Additionally, its advanced AI-driven analytics provide a wide array of functionalities such as on-demand object detection, classification and tracking, metadata generation, heat mapping, people counting, color and area searches, behavior and loitering monitoring, automatic license plate recognition, facial recognition, and detection of safety equipment such as hard hats and vests, as well as fire and smoke alerts, all aimed at minimizing false alarms, speeding up incident investigations, and facilitating immediate notifications. By integrating these features, 3deye not only enhances safety and security but also streamlines operational efficiency for various users across different sectors.

Description

Carmen® Cloud is an innovative cloud-based solution for Automatic Number Plate Recognition (ANPR) that utilizes cutting-edge machine learning techniques to accurately identify license plates, as well as the make, model, and color of vehicles in more than 200 nations. The system's algorithms are designed to be dynamic, allowing them to continuously evolve and maintain dependable performance even in challenging environments. With the convenience of a single API call, it enables easy access to ANPR, Make and Model Recognition (MMR), and Hazard Identification Number Recognition (ADR), facilitating quick implementation in various contexts such as traffic surveillance, parking systems, and security measures. Carmen® Cloud's robust and scalable architecture can handle varying operational demands, ensuring rapid insights without any delays or bottlenecks. The solution's worldwide applicability and flexible deployment options make it an ideal choice for organizations that require reliable and precise vehicle recognition solutions, ultimately enhancing their operational efficiency and security measures. Furthermore, its adaptability to different scenarios underscores its significance in modern vehicle management systems.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

AWS Marketplace
Amazon Web Services (AWS)

Integrations

AWS Marketplace
Amazon Web Services (AWS)

Pricing Details

$200 per month
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

3deye

Founded

2014

Country

Canada

Website

www.3deye.ai/

Vendor Details

Company Name

Adaptive Recognition

Founded

1991

Country

Hungary

Website

carmencloud.com

Product Features

People Counting

API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring

Alternatives

Alternatives

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