From Pixels to Evidence:
Enhance Your Knowledge In Video Forensics
Welcome to the Amped Blog, dedicated to image and video forensics!
Whether you’re an experienced forensic analyst or just getting started with video evidence, we’ll surely have something for you. Here you can learn more about how to properly handle images and videos to improve your investigations, starting from the field, up to the forensic lab, and then to the courtroom.
Amped Replay Update 34739: Automated Watermarking, Motion Detection Improvements, and More!
Reading time: 6 min With this update, we bring you several exciting improvements, including range-based motion detection to minimize time wastages and the ability to animate zoom parameters with
Getting Started with Video Formats and Conversion
Reading time: 8 min In this first post from our new Video Formats and Conversion blog series, we cover some of the terminologies we will be using throughout. Looking
Unlock Advanced Techniques in Video Evidence Analysis – Join Our Webinars
Reading time: 5 min We’re excited to announce a series of insightful webinars on today’s challenges investigators and forensic experts encounter in their day-to-day work!
Amped Software Co-authors a Journal Paper About the Image Restoration Workflow for Forensic Applications
Reading time: 3 min When performing image and video restoration through filtering, the order of the filter chain does make a difference. Read the scientific paper we recently co-authored
Amped Software Co-authors a Journal Paper About Detecting Double Compression in HEIF Images
Reading time: 2 min Amped Software co-authored a scientific paper, this time about detecting double encoding in HEIF images. Read the paper, it’s open access!
Amped Authenticate Update 34382: Range-based Processing for Video Mode, Updated Social Media Identification Filter, and More!
Reading time: 6 min In this update, we’re introducing range-based processing in Authenticate Video Mode and frame overlays in VPF Analysis. We’ve also enhanced our Social Media Identification filter
