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Image Analysis

Fraud Detection for fake images 

Our solution is an AI-software which detects deepfakes and manipulated images in seconds and prevents image-based fraud. The Fraud Scanner can be easily and individually integrated into your processes as an API or with an user interface.

Our image-analysis features

Get everything in one single API.

Deepfake and AI-generated images detection

The Fraud Scanner detects images that were artificially generated by image generators and show content that never existed in reality.

Detects fully AI-generated images reliably in seconds.

(AI-) edited 
images detection

Detects images that have been subsequently edited by AI or other image editing software and therefore no longer represent the completely credible scenery of an image. 

Detects images that have been subsequently edited by AI or other software.

Marking of image edits for transparency

The color markings allow you to quickly and at a glance see where edits have been made in the image and, based on this assessment, initiate the following steps.

Conspicuous and manipulated areas in the image are localized and highlighted in colour.

Metadata Analysis

Extracts and displays metadata such as location, time, device or image format. Metadata can easily be changed and therefore doesn't provide a reliable basis for drawing conclusions about the credibility.

The metadata is extracted and displayed so that you can quickly obtain all important additional information about the image.

Duplicate Check

Without saving the image ourselves, we will check for you whether the image has already been submitted once. Slight changes in viewing angle have no influence on successful recognition.

Similarity comparison to check whether the  image has already been submitted to you or another company.

Internet reverse search

The Fraud Scanner detects reused images from the internet and even shows you the page where the image was found via a link.

This feature checks whether the submitted image comes from the internet and has already been uploaded there once.

Known from:

Logo_BraunschweigerZeitung_edited.png
Logo_HamburgerAbendblatt_edited_edited.p
Logo_ZeitCampus_edited.png
Zeichenfläche-2.webp
Logo_pielaundco.webp
Zeichenfläche-1.webp

Automatically. Fast. Reliable.

Detect image-based fraud immediately and save costs in claims settlement

Optimize your input management by using the Fraud Scanner to check the credibility of all damage images.

Bundling image forensic analysis

In the Fraud Scanner in particular, we combine a variety of complex image forensic analysis to detect different forms of fraud in connection with damage images.

Efficient cost cutting

By more specifically controlling suspicious damage patterns and reducing the effort required for manual image checks, we reduce your costs significantly.

Reduction of fraud rate

Prevent more fraud attempts thanks to new solutions for detecting and preventing manipulated or AI-generated damage patterns.

Uncomplicated Integration

Whether as a support tool for claims settlement on the table or as an optimization for fully automated dark processing, our solutions can be easily and individually integrated into your claims settlement processes.

Use Cases

The image-analysis API can be integrated wherever necessary and is customizable for your specific fraud detection needs. Explore common use cases to see how it works in action.

Types of Integration

API

Integrate the Fraud Scanner where it creates the most added value in your individual processes.

With little effort and our detailed API documentation, you can easily integrate the software into your systems and control the call from there.

Low integration effort

Adaptable to your existing systems and processes

Combined use with other fraud detection methods possible

Analyze Cockpit

Get quick and easy access to all features in one place.

With just a few clicks you can access all the features of the Fraud Scanner in our user interface and check images for credibility.
 

Quick image analysis via drag-and-drop

Clear visualization of the analysis results

Creation of a regular monthly report

Frequently asked questions

  • Which image formats can be processed?
    The commonly used image formats JPEG, PNG, TIFF, HEIC and PDF can be processed.
  • Can image sequences also be processed, for example in a zip. file?
    Yes, we can also analyze several images in a row. If we receive the images from you as a zip. file, we can process them and give you the assessment for each image individually.
  • Are the results of the Fraud Scanner court-proof?
    The results of the Fraud Scanner are not yet court-proof. Even if the detection rates are very high and reliable, the Fraud Scanner is a statistical model that can never guarantee 100% security.
  • Can PDFs also be processed?
    Yes. We can analyze images out of PDF files. Furthermore, the Fraud Scanner is also able to analyze document PDF files like invoices, certificates or other text documents.
  • Which AIs are recognized?
    Our service for you is that we constantly develop our decision models and constantly adapt them to the latest trends in AI development. We therefore stay up-to-date with AI development for you. We focus primarily on publicly accessible AIs with the ability to create convincing photorealistic deepfakes.
  • Are the images stored at VAARHAFT during or after the analysis?
    The images are briefly stored on our servers for analysis and are completely deleted following the analysis. Thanks to our proprietary photo hash algorithm, the images do not have to be stored on our servers for the duplicate check.
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