AI TOOL PROFILE

Carmen Cloud: Automatic Number Plate Recognition Software

Carmen Cloud helps businesses in parking, security, and fleet management automate vehicle identification. It may be useful for operations that need to monitor vehicle entry and exit via browser-based or on-premise access.
  • Security
  • Computer Vision
  • Parking operators
  • Security managers
  • Fleet managers
  • Traffic analysts
  • Developers building vehicle-tracking apps

Pricing

A free plan is available for initial testing. Paid plans start at $35 per month for 50,000 requests.

At a glance

Best for
Parking operators, Security managers, Fleet managers, Traffic analysts, Developers building vehicle-tracking apps
Key use cases
Parking Management, Access Control, Traffic Monitoring, Fleet and Logistics, Law Enforcement and Security
Integrations
JavaScript/TypeScript client library, Python client library, Webhook HTTP endpoints
Visit Carmen CloudCarmen Cloud software interface screenshot

How AI is used

Carmen Cloud is a vehicle recognition platform that uses machine learning to identify license plates (ANPR), vehicle make and model (MMR), and axle counts (ADR). It is designed for businesses that need to process vehicle data from images or video streams and integrate that data into their own workflows via an API.

The tool supports various operational needs, including parking management, access control for gated communities, and traffic monitoring. It supports recognition capabilities for plates in over 200 countries.

Buyers can choose between cloud-based access or on-premise deployment using the Carmen Worker. A mobile app is available for Android devices to capture plate information.

Because it is an API-centric tool, buyers should confirm they have the technical resources to integrate the API into their existing systems or that the provided client libraries meet their development needs.

Key Features

  • Combined Vehicle Recognition

    Supports ANPR, Make Model Recognition (MMR), and Axle Detection Recognition (ADR) through a single API call.

  • Global Plate Support

    Supports license plate formats and regulations across 200+ countries and regions.

  • Deployment Flexibility

    Offers cloud-based services and on-premise deployment options.

  • Vehicle Detector Agent

    An add-on designed to detect, track, and recognize vehicles within input video streams.

  • Challenging Image Handling

    Designed to recognize plates in low-light, low-resolution, or blurry images, as well as angled or dual-row plates.

  • Carmen Mobile

    An Android application that turns a phone into an ANPR and MMR camera.

Use Cases

  • Parking Management

    Supporting automated vehicle entry and exit to help optimize parking space usage.

  • Access Control

    Monitoring gated communities and secure premises to help ensure authorized vehicle access.

  • Traffic Monitoring

    Collecting vehicle data to support road planning and congestion management.

  • Fleet and Logistics

    Monitoring fleet movements to support logistics and delivery optimization.

  • Law Enforcement and Security

    Identifying specific vehicles for security actions and monitoring.

  • Commercial Service Points

    Managing queues and identifying customers at car washes and drive-through restaurants.

Integrations

  • JavaScript/TypeScript client library
  • Python client library
  • Webhook HTTP endpoints

FAQ

What does Carmen Cloud do?

It provides Automatic Number Plate Recognition (ANPR), Make Model Recognition (MMR), and Axle Detection Recognition (ADR) via a cloud API or on-premise installation.

How much does Carmen Cloud cost?

They offer a free plan for testing, with paid subscriptions starting at $35 per month for 50,000 requests.

Does Carmen Cloud work with international license plates?

Yes, the platform is designed to support license plate formats and regulations in over 200 countries and regions.

Is specialized hardware required for Carmen Cloud?

No, the service allows users to access recognition capabilities without investing in expensive hardware.

Source category: Security

Source subcategory: Computer Vision

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