Monthly Archives: February 2017

We’re off to the Digital Investigations Conference & Exhibition in New Delhi

Join Amped, together with our partner Forensics Guru, at our first ever exhibition in India at the Digital Investigations Conference & Exhibition (DICE 2017). Visit the Amped Software booth for live demos of our image and video enhancement and authentication solutions.

When: 25 February 2017

Where: Silver Oak, India Habitat Centre, Lodhi Road, New Delhi, India

DICE is the only event in India focused on the digital investigations and forensics community. Attended by law enforcement agencies, government bodies, and companies with a direct interest in digital investigation technologies, the DICE event this year will be inaugurated by Mr. PP Chaudhary, Union Minister of State, Ministry of Law and Justice; and Ministry of Electronics and Information Technology, Government of India. This active government participation further underscores the emphasis that the Indian government lays on digital investigation technologies.

The manifold increase in the use of CCTV’s and video recording equipment in the Indian subcontinent has led to greater availability of video footage as evidence of crimes. Amped Software’s tools are uniquely positioned to provide insight into this video footage with the perspective of enhancing the output to be able to better ascertain the video contents from an investigation perspective. This is a crucial input from the perspective of law enforcement agencies and corporate security teams alike.

Google’s CSI-Like Algorithm Is Not Enhancing Images, It’s Creating Them!

In the last few days, there’s been a lot of noise about the latest impressive research by Google. This is a selection of articles with bombastic titles:

The actual research article by Google is available here.

First of all, let me say that technically, the results are amazing. But this system is not simply an image enhancement or restoration tool. It is creating new images based on a best guess, which may look similar but also completely different than the actual data originally captured. Continue reading