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    PlateMask.Ai (License Plate Anonymizer)

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    Sold by: jCentricity 
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    PlateMask.Ai is a high-performance, developer-centric API designed to automate the redaction of vehicle license plates in images. Built on advanced computer vision models, it provides instant, reliable anonymization to help businesses stay compliant with global privacy regulations like GDPR, CCPA, and APPI.

    Overview

    PlateMask.Ai is a high-performance, developer-centric API designed to automate the redaction of vehicle license plates in images. Built on advanced computer vision models, it provides instant, reliable anonymization to help businesses stay compliant with global privacy regulations like GDPR, CCPA, and APPI.

    Key Features:

    • Precision Detection: Specifically tuned for multi-region license plate styles, including US (12"x6") and European/Standard ISO formats.

    • Smart Blurring: Uses adaptive Gaussian smoothing that obscures alphanumeric characters while maintaining the professional aesthetic of the original image.

    • Lightning Fast: Optimized for low-latency processing, making it ideal for high-volume automotive marketplaces, parking management systems, and fleet dashcam footage.

    • Privacy-Native: We process your images in-memory and never store your data, ensuring your customers' privacy is protected from end to end.

    Common Use Cases:

    • Automotive Marketplaces: Automatically scrub plates from user-uploaded car listings.

    • Insurance & Claims: Anonymize third-party vehicles in accident photos for claim processing.

    • Smart Cities & Parking: Protect citizen privacy in traffic monitoring or automated parking enforcement systems.

    • Social Media & Content Apps: Ensure user-generated content remains compliant with privacy laws by masking sensitive identifiers.

    Highlights

    • High-Precision AI-Powered Detection & Blur: advanced computer vision models optimized to detect and obscure license plates instantly across varying angles, lighting conditions, and motion blur.

    Details

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    Deployed on AWS
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    Leverage AWS CloudFormation templates to reduce the time and resources required to configure, deploy, and launch your software.

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    Try this product free according to the free trial terms set by the vendor.

    PlateMask.Ai (License Plate Anonymizer)

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (1)

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    Dimension
    Description
    Cost/request
    Standard Based Usage
    Per successful processing request for blurring license plate in an image
    $0.05

    Vendor refund policy

    Currently we do not support refunds, but you can cancel your subscription to this service at any time.

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    Usage information

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    Delivery details

    API-Based Agents & Tools

    API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.

    Additional details

    Usage instructions

    API

    PlateMask.AI (License Plate Anonymization)


    1. License Plate Anonymization Service

    Automated detection and blurring of vehicle license plates to ensure privacy compliance.

    See Swagger API doc at:

    http://www.jcentricity.com/platemask_swagger.json 

    Synchronous Plate Blurring

    • Endpoint: POST /aws/api/plate/blur
    • Base URL: <https://services.forecastica.com>
    • Input: multipart/form-data containing the image form parameter with the image file binary.
    • Output: Returns the blurred image file binary.
    • Media Type: image/jpeg

    Authentication

    All requests must include the following header:

    HeaderValueDescription
    AuthorizationBearer YOUR_API_KEYMandatory API Key for authentication.

    2. Implementation Guidelines

    Request Requirements

    • Method: POST
    • Content-Type: multipart/form-data
    • Form Parameter: image (The source image file).

    Error Handling

    Status CodeDescription
    401Unauthorized - Invalid or missing Bearer API_Key.
    500Internal Server Error - An error occurred during image processing.

    3. Usage Example

    cURL

    curl -X POST [<https://services.forecastica.com/aws/api/plate/blur>](<https://services.forecastica.com/api/plate/blur>) \\ -H "Authorization: Bearer YOUR_API_KEY" \\ -F "image=@/path/to/your/car_image.jpg" \\ --output anonymized_result.jpg

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