Announcing Deep Scan Pixel-Level Image Analysis

Our 50th software release ushers in exciting new technology

People say that every photograph tells a story. Here at Attestiv, we can always find at least two.

First, there’s the visual story in the picture. We’re used to talking about that: the objects, the people, the world we see.

Second, there’s the story of where the picture came from. Our tools go deeper than what’s visible to find the imperceptible traces and patterns left behind by the creation process, from the sensors on the camera all the way to the publishing software.

Deep Scan Pixel Analysis

No camera takes a perfect picture. Every camera adds its own texture: an almost invisible pattern of systematic noise introduced by fluctuations in the electromagnetic signals during the creation of the photograph.

Our tools identify those textures within a photograph and use them to read the deep story: was this picture all taken by the same camera? Do all the textures match? Are they all aligned the same way? Have they been changed?

Utilizing an attention-based machine learning model, we have been able to understand the different ways that those textures are affected by image manipulation. The model does this by focusing on smaller details, learning which part of the data is more important than another in which contexts(1).

When we are given a photo to evaluate, we can scan through that photo looking at the constituent textures and locate and isolate where they show signs of manipulation or transplantation.

In our 50th software release, we are debuting our beta version of our Deep Scan Pixel Analysis.

Example:
This “cat on a track” is a photo that has been manipulated to add the cat to the original image.

Below we see the Deep scan pixel analysis results across the three different sensitivity levels available. 

This new feature offers never before seen insights into images. We expect accuracy will continue to improve over time as this new capability matures from beta to production – better discerning noise from edits and broadening texture ranges and other details.
white car with red heat map type overlay sitting on different areas of the car noting areas of concern
Interested in seeing it in action?

(1) https://en.wikipedia.org/wiki/Attention_(machine_learning)

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Nicos Vekiarides

Nicos Vekiarides

Nicos Vekiarides is the Chief Executive Officer & co-founder of Attestiv. He has spent the past 20+ years in enterprise IT and cloud, as a CEO & entrepreneur, bringing innovative new technologies to market. His previous startup, TwinStrata, an innovative cloud storage company where he pioneered cloud-integrated storage for the enterprise, was acquired by EMC in 2014. Before that, he brought to market the industry’s first storage virtualization appliance for StorageApps, a company later acquired by HP.

Nicos holds 6 technology patents in storage, networking and cloud technology and has published numerous articles on new technologies. Nicos is a partner at Mentors Fund, an early-stage venture fund, a mentor at Founder Institute Boston, where he coaches first-time entrepreneurs, and an advisor to several companies. Nicos holds degrees from MIT and Carnegie Mellon University.

Mark Morley

Mark Morley is the Chief Operating Officer of Attestiv.

He received his formative Data Integrity training at Deloitte. Served as the CFO of Iomega (NYSE), the international manufacturer of Zip storage devices, at the time,  the second fastest-growing public company in the U.S.. He served as the CFO of Encore Computer (NASDAQ) as it grew from Revenue of $2 million to over $200 million. During “Desert Storm”, Mark was required to hold the highest U.S. and NATO clearances.

Mark authored a seminal article on Data Integrity online (Wall Street Journal Online). Additionally, he served as EVP, General Counsel and CFO at Digital Guardian, a high-growth cybersecurity company.

Earlier in his career, he worked at an independent insurance agency, Amica as a claims representative, and was the CEO of the captive insurance subsidiary of a NYSE company.

He obtained Bachelor (Economics) and Doctor of Law degrees from Boston College and is a graduate of Harvard Business School.