GMDSOFT’s Deepfake Detection Solution Featured in Ewha Voice

A recent article has been published in ‘Ewha Voice – Ewha University’s News Journal’ featuring insights from Paul Kim, the AI Team Leader at GMDSOFT, on advising deepfake technology.

As AI evolves, so does deepfake technology, finding applications in diverse fields like healthcare and video production. But misuse, including fake news and illicit content, is on the rise.

To combat such misuse, GMDSOFT has conducted research and development on MD-VIDEO AI, a model designed to detect and distinguish deepfakes. These advancements will be integrated into our MD-RED and MD-VIDEO AI products slated for release in the latter half of 2024. We anticipate that this will significantly mitigate the abuse of deepfake technology and enhance our ability to address cyber threats and digital crime investigations effectively.

Along with innovative technological advancements, raising societal awareness about these technologies is equally important. GMDSOFT will continue its efforts to help the people in pursuit of justice and truth.

We Empower Your Investigation!

Check out the Ewha Voice news that features GMDSOFT’s technology at the link below 

https://lnkd.in/eFfdBHZC

Unveiling MD-NEXT v2.0.13: Introducing Tizen Live Extraction for Samsung Galaxy Gear and Watch Series

Introducing MD-NEXT v2.0.13 with groundbreaking features!
We’re thrilled to unveil support for Tizen Live extraction, now compatible with the Galaxy Gear and Watch series!

In today’s digital age, smartwatches have become indispensable repositories of crucial data. With the ever-growing importance of wearable devices, extracting data from them has never been more crucial. Imagine a scenario where a phone is lost or inaccessible. Smartwatches serve as invaluable assets for investigators, offering a wealth of personal information and insights.

With GMDSOFT’s relentless pursuit of innovation, we’re proud to announce the extraction support for 63 models of Samsung Galaxy Gear and Watch series, bolstering our mobile forensic capabilities like never before.

As always, we would continue to push the boundaries of digital forensics with our cutting-edge updates. Don’t miss out on the latest release in MD-SERIES, explore our newest feature today and stay ahead of the curve!

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MD-VIDEO v3.14.6.7 new feature update

We’re proud to announce that with the latest update, MD-VIDEO v3.14.6.7, with extended number plate restoration functionality of MD-VIDEO AI for vehicles in 7 additional countries! Our expanded support now includes Bangladesh, Burkina Faso, Denmark, Ecuador, Iraq, Mongolia, and Japan, enriching our video forensics capabilities. This latest feature elevates the total number of supported countries for license plate restoration to over 10! 🌍 Empower your video investigative endeavors across borders with MD-VIDEO AI
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New feature update – MD-LIVE ‘Chat Scanner’

 

Chat Scanner is beneficial when messenger app extraction is tough and time-consuming, especially for searching specific text in chats. It’s a feature to extract and analyze text from photos of chatroom conversations in messengers.

 

Furthermore, in instances where data extraction cannot be executed directly on the platform, the integration with the Recording feature facilitates rapid screen capture of the device. This combined process includes Optical Character Recognition (OCR) analysis as well. Also, analyzed result can be exported as Chat Scanner Report.

 

For additional details about the Chat Scanner feature, refer to the informative demo video provided.

 

 

 

 

 

MD-DRONE – Extract and analyze data from Drone

We are happy to release a demo video of MD-DRONE!

 

Drone and UAVs are commonly used for public service purposes or terror and crimes are often involved with this remotely controlled mobility tool.

The need for the investigation of drones is rapidly increasing from the front-liners, forensics professionals, and drone operation teams in the government.

 

What you can expect from MD-DRONE are

1. Drone data extraction

2. Drone data analysis

3. Mobile and cloud forensics result integration

4. Drone Accident/Crime inspection with AI-based analytics

 

Check the various features in MD-DRONE and contact our team to find out more!

sales@gmdsoft.com

 

How MD-VIDEO AI can perform the world’s best gun recognition feature?

How MD-VIDEO AI can perform the world’s best gun recognition feature?

 

 

Recognizing guns with AI technology can be roughly divided into two stages: Learning and Reasoning.

 

 

At the learning stage, we train the computer with a large amount of image data, and as a result, get a model that can identify a gun. Then at the reasoning stage which the computer already has gun models, the computer determines whether or not a gun is present in the input image.

 

 

Here, what really matters is the learning phase. To make a good model, we need to have a large number of gun images. It also needs to determine whether or not there is a gun in the input image, even if the image is too dark, too bright, small, poor quality, blurred, or partially hidden.

 

In order to perform good recognition, you need to have a variety of training data. However, getting a large scale of various gun images is limited, it’s not easy to build training data.

 

So our research team brought up an idea, what if the computer automatically creates the training data and even automatically labels the guns? We can get a really large amount of gun data. Having a lot of data increases the accuracy of gun recognition, it can respond to various input image environments and quality.

 

 

To this end, we built a virtual gun image rendering platform by researching and developing the following technologies.

 

 

– 3D modeling of 10 pistols and 11 long guns.
– 3D modeling of a hand holding a gun.
– 3D modeling of a total of 4 backgrounds: Parking lot, School, Market, and Construction site.
– Variety of gun placement techniques in the background.
– Technique for placing a part of the gun to be hidden on an object.
– Random parameter adjustment technology such as camera distance, angle, brightness, blur, and shade.
– A technique for accurately labeling parts of a gun in a rendered image (Calculated in pixels).

 

 

 

 

Based on this, 200,000 virtual gun images were created, and a gun recognition model was created by training with real gun images. Having a lot of data increases the accuracy of gun recognition, it can respond to various input image environments and quality.

Throughout this effort, MD-VIDEO AI could perform the world’s best gun recognition feature among video forensic tools.

 

 

Find out more useful features that can empower your investigation.

If you have any support from our team, submit your inquiry!

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New Extraction Feature – Samsung Galaxy S22 Qualcomm Series.

We are excited to release the latest extraction feature of MD-NEXT.

It’s the market’s first extraction of Samsung Galaxy S22 Qualcomm Series.
This feature is supported with MD-NEXT v1.91.4

 

Supported New Models are..

– Galaxy S22 5G (SM-S901N, SM-S901U, SM-S901U1, SM-S901W, SM-S9010, SM-S901E, SM-S901E_DS)
– Galaxy S22+ 5G (SM-S906N, SM-S906U, SM-S906U1, SM-S906W, SM-S9060, SM-S906E, SM-S906E_DS)
– Galaxy S22 Ultra 5G (SM-S908N, SM-S908U, SM-S908U1, SM-S908W, SM-S9080, SM-S908E, SM-S908E_DS)

 

 

 

If you want to have a datasheet of MD-NEXT, please send us your inquiry!

MD-NEXT Datasheet Inquiry

Empower Your On-Site Investigation with MD-LIVE

Whenever to access the evidence phone at the crime scene, you may always suffer from insufficient time and its complicated steps to use the mobile forensic tool.
MD-LIVE has armed itself with various useful features to save the investigation time and to meet these needs for smartphone forensics.
Go check the features and find out how you can empower your investigation with MD-LIVE.

Check our YouTube channel and catch up with our latest product videos!

 

Analyze and Review the Data of ‘MeWe’ and ‘Threema’

We’ve been keeping up with the research on the globally rising social media apps, today we’ll introduce MeWe and Threema. MD-RED is supporting data analysis of MeWe Android from MD-RED v3.7.29 and Threema Android, MD-RED v3.7.31. Follow the below article and find out major features and how MD-RED displays the analysis results. 

 

1. MeWe 

 

  • What’s MeWe?

MeWe is the uplifting social network service app with awesome social features people love along with no ads, no targeting, and no newsfeed manipulation.  It has a timeline, groups, pages you can join, friends can make, a built-in messaging tool, and a profile page for users to customize.

 

  • Major features of MeWe and Analysis results of MD-RED

 

 

2. Threema

 

  • What’s Threema?

 

Threema is a paid open-source end-to-end encrypted instant messaging application for iOS and Android. The software is based on privacy by design principles as it does not require a phone number or any other personally identifiable information. Data is stored in an encrypted DB, and more security settings can be added to the settings. Users can do text messaging, make voice, and video calls, send multimedia, locations, voice messages, and files.

 

  • Major features of Threema and Analysis results of MD-RED

 

If you want to read the full article, please download the PDF file.

Analyze and Review the Data of ‘Zepeto’ and ‘Clubhouse’ using MD-RED

Today, Zepeto and Clubhouse are the rising apps, the app user is growing fast, and it’s recognized as a new generation of social media. MD-RED is supporting the data analysis of Zepeto (Android) from v3.7.26, Zepeto (iOS) from v3.7.31, and Clubhouse (iOS) from v3.7.20.  Through this article, you may learn the basic features of Zepeto, Clubhouse, and how MD-RED can analyze and display the data.

 

  • What’s Zepeto

The Zepeto app is a metaverse (virtual platform) of a creative studio developed by Naver Z Corporation. The friends in Zepeto can share a common room and have fun activities by creating 3D avatars with displayed items available in this environment. The pictures and videos taken in the various maps in Zepeto world can be shared through the feed.

– Account information

Account information is displayed in ‘Account’ and you can find out the user’s name, Inner ID, and creation date and time.

– Chat data: Message

Click the speech bubble on the screen to display the chat list. Conversation supports 1:1, group chat and is analyzed as follows. Chat data such as chat room name, chat room ID, group chat status, chat room creation date, participant, chat room creator are analyzed.

In chat rooms, users can send text, images, and video files. MD-RED analyzes and displays those contents as message type, creation date, content, attachment, sender, message ID, chat room.

 

  • What’s Clubhouse

Clubhouse is social audio app which is a voice networking app developed by Alpha Exploration. It’s designed to have audio/voice communication in real-time in the chat room. MD-RED supports Clubhouse (iOS) analysis from v3.7.20, supported targets are the account, contact, and notification message. And a text-based chat room ‘Backchannel’ feature will be supported by MD-RED soon.

 – Account Information

Supports to analyze the Account name, ID, Inner ID, and Profile image.

– Contacts

The information of the chat room participants in the list is displayed in the contact analysis result.

– Alarm message

An alarm message is analyzed and displayed in the message analysis result. This allows us to infer the user’s activity.

 

If you want to read the whole article, download the PDF.