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Anonymized Data Processing Tools

-- Provide advanced anonymization for image and video data to achieve data privacy compliance

AutopilotOther industries in theThe R&D cycle requires large-scale collection and analysis of global data, but the data often contains a large amount of personal information, which may violate data privacy protection laws and regulations, exposing the company to significant risks such as fines and hindering technological innovation.

In this regard, HONGKE launched brighter AI data anonymization solution, which provides precise blurring, full body blurring, in-depth natural anonymization tools and Edge solution, which can edit faces and license plates to make it impossible to identify the original data subject, and support the retention of key attributes for machine learning, which can help companies to comply with the PIPL, GDPR and other data privacy protection regulations, and accelerate the development and innovation of the enterprise. Innovation.

Anonymized Products

Precision Blur is a highly accurate AI-based blur processing solution that automatically detects faces and license plates in videos and images and blurs them.

Full Body Blur is an advanced privacy solution that anonymizes the entire human body in films and images, effectively blurring personal identifiers such as hairstyles, clothing and tattoos. This upgrade enhances privacy compliance by protecting sensitive information and adapting to evolving data protection regulations.

Deep Natural Anonymization (DNAT) is a generative AI-based solution that protects identity information by generating synthetic overlays of faces and license plates.

Edge Solutions

The Edge solution can be used inBefore the data leaves the vehicleAnonymization.

Functional Features

Custom Editing

With customized editing settings, you can manually set the detection thresholds. This allows you to fine-tune the recognition of objects such as faces and license plates for specific use cases, ensuring high quality editing results and maximum compliance.

The Selective Edit user interface allows you to selectively anonymize personal information in your videos. In some use cases, not all faces need to be blurred. After auto-detection, you can individually select (deselect) selected objects.

The Edit Area feature provides you with areas for face and license plate privacy. This gives you the possibility to remove personal information according to your specific needs while ensuring privacy compliance. It provides sufficient flexibility for data handling and complex processes.

Provides the option to seamlessly integrate our image editing solutions into your products and services via a REST API. You can enjoy full functionality and customize the solution to meet your individual needs.

Product Advantage

Simple operation

One-stop anonymization service, in three easy steps you can anonymize images and videos in your portal, and in the overview you can track the status and download the anonymization results.

Easy Integration

Easily integrated via REST API, setup via our secure cloud API or on your own GPU server, both for large scale data collection and processing.

Free deployment

Local + Cloud Deployment. Seamless integration can be realized from edge to local to cloud based on demand.

Legal Compliance

Our solutions have been approved by data protection officials for GDPR, CCPA, CSL and other jurisdictions.

Application Scenarios

Autonomous Driving Data Anonymization

Brighter AI data anonymization solution can perform high-precision large-scale blurring of faces and license plates from different regions, and the process is irreversible, ensuring a high level of security for automated driving data. In addition, DNAT retains the recognized age, gender, race, and facial expression, so that the anonymized data is uniformly representative of the original data, which perfectly fulfills the key functional requirements of both legal compliance and research and development.

 

Brighter AI is also available for localized deployment tailored to the needs of edge-based scenarios. The Python-based SDK enables easy deployment on CPU-only ARM and x86 platforms, embedded neural engines, and Nvidia Jetson for seamless local anonymization and the strictest data security.

Other Industry Applications

Anonymization of Scientific Research Data

For universities and organizations engaged in research on machine vision, machine learning, and so on.
Provides high-precision anonymization tools to support scientific research such as data collection, sharing and storage.
Applications include scientific research, behavioral research, publication sample data, and collaborative databases.

Healthcare Data Anonymization

Anonymize patients and healthcare professionals, protect medical films and image data, and comply with regulations such as HIPAA.
Applications include user experience and machine testing, digital therapy, education and research, and patient tracking.

Public Transportation Data Anonymization

To support the legal and compliant use of AI-based video analytics in public places.
Preserve relevant information such as number, age and gender while protecting the identity of the individual.
It can be used in anonymization scenarios such as public transportation and smart city headcount.

Professional technical support from HONGKEI to help you succeed in your project.

As a provider specializing in machine vision and optoelectronic inspection solutions, Avision is also committed to providing you with a range of paid technical services related to this product, aiming to help you succeed in your project in the most cost-effective way. Please contact us if you need technical services related to this product!

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