Verify the integrity of image and video files.
Identify the processing history of photos and videos.
Detect tampered areas to determine their authenticity.
Identify the device used to capture the images.
Photo analysis and tampering detection
Unveil the processing history of a digital image
Produce a customizable forensic report ensuring that your results are well explained and reproducible. Without solid ways to validate that the information is accurate, digital images could pose issues when they are presented as evidence in a case and in court. Therefore, thoroughly investigating an image and ensuring its trustworthiness and source is critical in today’s investigations.
For every filter in Amped Authenticate, you’ll find bibliographic references in the user manual and, whenever the filter is used, in the generated report. Authenticate contains image and video authentication filters based on tens of scientific papers and studies. When we implement a filter we carry out an experimental validation to check the performance reported in the literature are matched.
Image and video authentication
Amped Authenticate helps video analysts answer the many challenges of authenticity and integrity surrounding today's digital images.
40+ tools and filters
Powerful image and video tools aid in the entire authentication workflow, from integrity analysis to content tampering analysis and deepfake detection.
Batch processing, customizable configurations, and optional post-processing parameters create a powerful environment to boost your workflow.
Image ballistic tools allow you to verify which camera was used to shoot a specific photo, even if the photo has been scaled, cropped or re-saved.
Access powerful resources on the web for carrying out reverse image search, cross-checking image location and Sun position, and retrieving reference images for integrity analysis.
Compare the results of two images side by side to understand where and how an image has been modified.
Support for any standard image format (JPEG, TIFF, BMP, PNG, HEIF, …) as well as RAW formats from many digital cameras. Extract images embedded in PDF and other formats.
Top-level customer support
Users can submit files and questions to Amped technical support when they need assistance with a specific filter or processing feature.
It is used by digital forensic experts and intelligence agencies worldwide.
The Face GAN Deepfake filter in Amped Authenticate
Analyze images and videos
The Face GAN Deepfake filter first localizes faces within the image and then uses AI to classify each face and provide you with a label and a confidence score between 0 and 1. When the confidence score is above 0.8, the label can either be Real (green color) or Fake (red color).
When the score is lower, Authenticate will play it safer and write Uncertain Real or Uncertain Fake.
Increase your expertise in image authentication
Filters and tools
Use filters in the Overview category for a preliminary evaluation of your evidence image: perform a deep visual inspection, with levels adjustment, pixel-fidelity magnification, and side-by-side comparison with possible reference images. Briefly analyze the primary file format elements with Amped Authenticate's automatic warning computation system, helping you to immediately spot suspicious/uncommon metadata and image properties.
Take a deep dive into all image metadata and encoding properties. This category includes filters for simple and assisted bitstream examination, Exif and other metadata extraction, JPEG Quantization Table analysis, and comparison with Amped Authenticate's internal database (featuring more than 14k tables from thousands of camera models). You can also check whether the image was downloaded from social media platforms such as Facebook, Flickr, Instagram, Whatsapp, Twitter, and others.
Reconstructing the processing history of the image is essential for a thorough forensic analysis. Global Analysis filters detect traces of multiple JPEG compression, reveal the previous compression quality, expose artifacts introduced by resizing/rotation/digital zoom, unveil traces of histogram and color processing, and uncover periodic noise typical of images recaptured from LCDs.
Every camera leaves a distinctive noise in the produced images. Amped Authenticate lets you estimate this noise using a few images from that camera, thus creating a Camera Reference Pattern (CRP) file. You can then use the stored CRP to understand whether an evidence image was captured using that specific camera exemplar, with high accuracy. All of this still works even when the image has been mildly compressed, rotated by multiples of 90 degrees, downscaled, or cropped.
Being able to localize manipulated regions is of the utmost importance. Amped Authenticate provides you with many filters for this task, based on complementary analysis domains. Traces introduced by JPEG compression, artifacts left by interpolation algorithms, local noise consistency analysis, and suspicious similarity of cloned regions, are all used to provide you with effective, precise, and fine-grained forgery localization maps.
One of the hardest parts of forging an image is to keep lights, shadows, and perspective consistent. Geometrical Analysis filters help the analyst check the technical consistency of such physical elements. Since they don't depend on compression or acquisition traces, these filters are very robust to post-processing and are suitable for low-quality images such as those from social media platforms. Geometrical Analysis filters can often be applied to scanned images and single video frames.
For teams of four or more forensic video analysts
Subscription for one year including:
- 1 seat of Amped FIVE
- 1 seat of Amped Authenticate
- 1 seat of Amped DVRConv
- 5 seats of Amped Replay
- 1 seat of Investigating Video Evidence Live Online Training
- 1 seat of Amped FIVE Live Online Training
- 1 seat of Amped Authenticate Live Online Training