PlateMask.Ai (License Plate Anonymizer)
jCentricity · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
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:
Show the rest of the publisher’s description (9 more lines)
- 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
Highlighted by the publisher on AWS Marketplace.
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.
Agent build and provenance
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Plans and pricing as listed
1 listed- Requests
Refund terms
As stated by the publisher on AWS Marketplace.
Currently we do not support refunds, but you can cancel your subscription to this service at any time.
Sources
Linked repositories
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