Enhancing Investigative Capabilities: MD-VIDEO AI Introduces Advanced Face Search and Face Restoration Features

Introduction 

GMDSOFT is pleased to announce new features to our MD-VIDEO AI, introducing face search and face restoration. These advanced features address critical challenges faced by law enforcement and forensic investigators in processing and analyzing video evidence. This is another innovative AI feature designed for one of the most critical elements in investigations-human faces-just like vehicle license plates. 

 

Addressing Modern Investigative Challenges 

In contemporary criminal investigations, video evidence has become increasingly crucial. However, the manual review of footage is extraordinarily time-consuming, and the quality of facial images captured often presents significant obstacles to efficient suspect identification. This innovative MD-VIDEO AI represents our ongoing commitment to enhancing investigative capabilities, specifically designed to analyze one of the most crucial elements in investigations—human faces—paralleling our successful work with vehicle license plates.

 

Advanced Face Search Capabilities 

The newly implemented face search functionality allows investigators to conduct sophisticated queries within video content: 

• Input-Based Search: Investigators can upload reference photographs directly into the video analysis interface to initiate a search for matching faces within the footage. 

• Analysis-Driven Filtering: After initial video processing, the system enables refined searches using analysis results as filters, significantly improving the precision of subject identification. 

• Rapid Processing of High-Volume Data: The AI-powered search engine can process an immense amount of video data in a fraction of the time required for manual review. 

 

Revolutionary Face Restoration Feature 

Our face restoration feature represents a breakthrough in forensic image enhancement: 

• Single and Multi-Image Reconstruction: The system can generate improved facial representations from either a single low-quality image or by synthesizing information from multiple partial captures. 

• Suspect Face Reconstruction: provides identifiable facial reconstruction values by enhancing suspect faces from degraded images, enabling more accurate suspect identification. 

• Detail Recovery: The technology can recover facial details that were previously indiscernible in the original video footage. 

 

Demonstrated Efficacy in Criminal Investigations 

The enhanced MD-VIDEO AI has already demonstrated its value in real-world applications. Multiple investigators have successfully utilized these features to resolve complex cases, including homicide investigations, where traditional methods had reached an impasse. The system’s ability to rapidly process and enhance facial data has proven instrumental in accelerating suspect identification and case resolution. 

 

Conclusion 

The integration of advanced face search and restoration capabilities into MD-VIDEO AI represents a significant advancement in video forensics technology. These features provide law enforcement agencies with powerful tools to overcome longstanding challenges in video evidence analysis, ultimately contributing to more efficient and effective criminal investigations. 

For more information on how MD-VIDEO AI can transform your investigative processes, please contact us for a comprehensive demonstration.

 

 


MD-Series Release Note Highlights : 2024 Q4 Review

Looking back at 2024 Q4, GMDSOFT has implemented significant enhancements across our MD-Series, strengthening our commitment to providing comprehensive digital forensics solutions. This quarter’s updates showcase our dedication to expanding device support, improving extraction capabilities, and introducing innovative features that address the evolving needs of forensic investigators. 

Let’s explore the major improvements in Q4 release: 

📱 MD NEXT
• Supports New phones : 47 Manufacturers, 428 New models
• Supports 91 models with UNISOC chipsets (MD-PLUG required)
 
📤 MD-RED  
• Supports New Apps – 19 Android & 10 iOS apps
• Added support for images extracted using third-party forensic software
 
👮🏻‍♀️ MD-LIVE  
• Supports Japanese language UI
• Support for LINE app as a scanning messenger
 
☁️ MD-CLOUD
• Enhanced extraction stability of Baidu, Google, iCloud, and X(Formerly Twitter)
 
🚁 MD-DRONE  
• New model : DJI FPV
• Introduced an indicator to assess the accuracy of location information in flight logs
 
🎥 MD-VIDEO AI  
• New ‘Face Search’ & ‘Face restoration’ feature  

 

These Q4 updates represent our ongoing commitment to advancing digital forensics technology. This comprehensive updates across our entire product, demonstrates our focus on providing investigators with the most capable and reliable tools in the industry. 

We appreciate the continued trust our users place in GMDSOFT solutions, and we remain dedicated to advancing our capabilities to meet the evolving challenges in digital forensics. 

If you would like to request the full release note, please submit an inquiry for the Q4 release note. 

 

 


MD-NEXT Expands UNISOC Chipset Support

The Evolving Challenge in Mobile Device Forensics  

The rapid proliferation of smartphone diversity presents an increasingly complex landscape for digital forensic investigators. As global smartphone markets expand, traditional forensic tools have struggled to keep pace with the emerging ecosystem of budget and mid-range devices powered by alternative chipset manufacturers. 

 

UNISOC’s Emerging Global Presence 

UNISOC, formerly known as ‘Spreadtrum’, has emerged as a significant player in the mobile chipset market. Founded in 2001, the company has steadily transformed from a regional semiconductor manufacturer to a global technology innovator. 

The smartphone ecosystem has witnessed a remarkable transformation, with alternative chipset manufacturers like UNISOC reshaping the traditional market dominated by giants like Qualcomm and MediaTek. This shift is particularly pronounced in emerging markets, where cost-effective smartphones powered by UNISOC chipsets are gaining substantial traction. 

 

GMDSOFT’s Comprehensive Global Support 

Recognizing the evolving technological landscape, GMDSOFT has strategically expanded MD-NEXT’s capabilities to address this growing market segment. Our latest update represents a comprehensive approach to global device forensics: 

Technical Highlights 

• Broad Compatibility: Support for Android OS versions 9-14 

• Diverse Chipset Extraction: Full Filesystem (FFS) for 5G-enabled models  

• Extensive Device Coverage: Supports over 90 models 

• Advanced Extraction Infrastructure: MD-PLUG enabling deep-level data extraction 

 

Future-Proofing Digital Investigations 

• Continuous research into emerging chipset technologies 

• Developing universal extraction frameworks 

 

Conclusion 

In an increasingly complex technological landscape, MD-NEXT stands at the forefront of forensic innovation. By integrating comprehensive UNISOC chipset support, we are not just expanding our tool’s capabilities – we are redefining the boundaries of digital investigation. 

For forensic professionals navigating today’s intricate technological terrain, MD-NEXT offers more than a tool. We provide a strategic advantage that adapts and evolves with the global smartphone ecosystem. 

 

 


GMDSOFT Training Center: Keeping the Momentum Strong in 2025!

As we move into 2025, GMDSOFT Training continues its dynamic momentum. 

This week marks another milestone as our training program reaches across borders, with our instructors conducting sessions worldwide while welcoming clients to our headquarters for concurrent training programs. 

🎯 Why GMDSOFT Training? 

• Diverse area of digital forensics on smartphone, cloud, CCTV, drone and IoT 

• Comprehensive coverage of MD-Series products with hands-on experience 

• Multi-level programs from fundamentals to advanced techniques 

• Real-world forensic case studies led by seasoned trainers 

• Interactive learning environment with practical applications 

• Examination and certification by the training evaluation program 

 

Whether you’re looking to enhance your digital forensics capabilities or master the MD-Series tools, our training center is always open to professionals like you. 

Ready to elevate your forensic expertise?  📧 Contact us today to learn more about our training! 

 

 


Tech Letter vol 8. Investigating AirDrop Transfer Activities

In today’s interconnected world, a disturbing trend is emerging that threatens our digital safety and personal well-being. Imagine receiving an unsolicited, explicit image on your device while going about your daily routine. This is the reality for many victims of cyber flashing, a form of digital harassment that’s becoming increasingly prevalent globally. 

 

The Cyber Flashing Epidemic 

Cyber flashing, often facilitated through technologies like AirDrop, is a serious issue that’s causing growing concern worldwide. This form of digital harassment involves sending unsolicited explicit images to unsuspecting recipients, often in public spaces. The psychological impact on victims can be severe, leading to feelings of violation, anxiety, and distress. 

 

Challenges in Combating Cyber Flashing 

Law enforcement agencies face significant hurdles when investigating cyber flashing incidents. 

• Perpetrator anonymity through randomized device identifiers 

• Volatile evidence that disappears quickly 

• Encryption of transferred data hampers forensic investigation 

 

GMDSOFT: Pioneering Solutions 

Despite these challenges, GMDSOFT is at the forefront of developing innovative solutions to combat cyber flashing. MD-RED focuses on analyzing AirDrop transmissions to provide crucial insights for investigators. By leveraging advanced data analysis techniques, we can: 

• Reconstruct digital trails left by perpetrators 

• Offer valuable leads for law enforcement agencies 

With cyber harassment cases continuing to rise, traditional digital forensics methods often fall short. Our research demonstrates that MD-RED empowers law enforcement with actionable intelligence to hold cyber flashers accountable, significantly reducing investigation time when every second counts. Interested in learning more? Request our full Tech Letter to explore how we’re transforming digital forensics investigations. 


MD-Series, advanced mobile and digital forensics solution

As we step into 2025, digital forensics continues to evolve rapidly, shaped by technological advancements, an ever-expanding array of digital devices, and exponentially growing data volumes. At GMDSOFT, we’re pioneering the future through advanced AI integration while revolutionizing the field of digital forensic solutions. 
 
With over 20 years of expertise, we’re proud to present our MD-Series, an advanced digital & mobile forensics solution that’s trusted by law enforcement agencies and investigators worldwide. Our solutions ensure complete evidence integrity and unmatched technical reliability – hallmarks that set GMDSOFT apart in the industry. 

 

🚀 Introducing MD-Series 

🔹 MD-NEXT: State-of-the-art extraction software supporting a wide spectrum of digital devices. 

🔹 MD-RED: Sophisticated analysis software specialized in mobile & digital forensics. 

🔹 MD-LIVE: Rapid-response investigation tool enabling on-the-spot triage and data analysis. 

🔹 MD-VIDEO AI: Revolutionary all-in-one video forensic tool featuring advanced AI capabilities, including DVR recovery, enhancement, object detection, number plate & face restoration, deepfake face detection, and more 

🔹 MD-CLOUD: Powerful software for comprehensive cloud and server data extraction and analysis. 

🔹 MD-DRONE: Specialized forensic software for drone & UAV investigations. 

 

As digital evidence becomes increasingly crucial in criminal investigation, GMDSOFT remains committed to delivering innovative solutions that meet tomorrow’s challenges today. 

Want to unlock the future of digital investigations? Watch the full video of MD-Series! 

 


Tech Letter vol 7. iPhone Call Recording Artifacts

For nearly two decades, digital investigators faced significant challenges when dealing with iOS devices. The inability to directly record phone calls, limited methods for verifying verbal statements, and incomplete communication context often hindered comprehensive digital investigations. However, with the release of iOS 18.1, we are witnessing a paradigm shift in the field of digital forensics. 

The Historical Challenge 

Prior to iOS 18.1, investigators encountered several obstacles: 

• No direct method to record iPhone calls 

• Difficulty in verifying verbal statements 

• Poor audio quality from workaround solutions 

These limitations often left critical communication moments unverified, and investigations handicapped. 

iOS 18.1 Update 

iOS 18.1 introduces a native call recording feature, dramatically transforming the digital forensics landscape. This update provides forensic professionals with unprecedented evidence collection capabilities: 

• Access to full call recording files 

• Automated voice-to-text transcriptions 

• Detailed call history database 

Implications for Forensic Investigations 

With these new capabilities, investigators can now: 

• Validate witness statements with unprecedented accuracy 

• Uncover subtle communication dynamics 

• Develop more comprehensive investigative narratives 

This level of detail and context was previously unattainable, marking a significant advancement in digital forensics. 

GMDSOFT’s Role in the New Forensic Landscape 

At GMDSOFT, we are not mere observers of this technological shift – we are at the forefront of its implementation. Our forensic solutions are specifically designed to help investigators navigate these new digital landscapes, transforming complex technological capabilities into actionable investigative insights. 

If you’re interested in this tech letter, please request the full tech letter through the contact section below. Don’t miss out on this opportunity to gain deeper insights into the revolutionary changes in digital forensics! 

 


Mobile Triage Forensics software: MD-LIVE v3.6.4.1304 Update

As digital crime continually reshapes the technological battlefield, law enforcement agencies face unprecedented challenges with increasingly sophisticated messaging app security. Traditional digital forensic methods have struggled to effectively extract evidence from secure messaging platforms like Telegram. 
This advanced technology enables rapid and efficient processing of large volumes of data through text conversion and analysis. We offer comprehensive support for WhatsApp, Telegram, Facebook Messenger, and now NEW: LINE Messenger, delivering swift large-scale data analysis with intuitive word search and editing capabilities.  

 

Key Advantages of Chat Scanner 

🔹 Rapid acquisition and analysis of messenger evidence data 
🔹 OCR application to scanned conversation screens, word search, and error correction 
🔹 Enhanced accuracy and efficiency in on-site investigations 
🔹 Strengthened reliability of evidence preservation 

 

Global Impact Highlight: LINE Messenger stands as the Asian market leader with an impressive 80% market share in Japan, 90% penetration in Taiwan, and the #1 messaging platform in Thailand. Our latest update introduces advanced Japanese OCR, enabling precise text analysis, seamless international investigation support, and strategic data interpretation across language barriers. 
 
Experience the future of digital forensics with MD-LIVE’s Chat Scanner. Unlock possibilities that were once beyond reach. 

Tech Letter vol 6. Unveiling WeChat’s Hidden Voice messages

Understanding WeChat’s Global Impact 

 

WeChat stands as a remarkable phenomenon in the digital landscape, serving approximately 1 billion monthly active users – roughly one-fifth of global smartphone users. This “super-app” has transcended traditional messaging platforms by integrating numerous features into a single ecosystem, making it an essential part of daily digital life, particularly in Asian markets. 

 

What sets WeChat apart is not just its massive user base, but its unique technical architecture. Unlike other messaging platforms such as WhatsApp or Facebook Messenger, WeChat implements a distinctive server-side approach where all communications route through servers in China, creating additional layers of complexity for forensic investigations. 

 

The Challenge 

For digital forensics investigators, WeChat’s sophisticated infrastructure presents unprecedented challenges. Its self-contained platform creates an intricate maze where critical evidence often resides in unexpected locations, significantly complicating the recovery process. Traditional forensic approaches frequently fall short when confronting WeChat’s unique data storage patterns. 

 

Our Discovery 

During a recent investigation, our team uncovered a significant finding: critical media files such as recorded voice messages in WeChat exist in locations completely different from their documented paths. This discovery challenges traditional forensic approaches and opens new possibilities for evidence recovery. 

 

Key Problems We Solved 

  • ・ Hidden Evidence Trails: Locating critical files outside conventional storage paths 

  • ・ Investigation Efficiency: Streamlining the evidence recovery process 

 

Conclusion 

Through this groundbreaking case study, GMDSOFT has demonstrated how MD-RED and MD-NEXT can revolutionize WeChat forensic investigations by efficiently tracking file storage paths and reconstructing user activities. We understand the frustration investigators face when crucial evidence proves elusive, leading to unnecessary delays and complications. This drives our mission to provide optimized tools and comprehensive technical support that make investigations more efficient and effective. Our solution not only addresses the complex challenges of WeChat’s unique architecture but also sets a new standard for digital forensic investigations. 

 

To discover how these innovative approaches and tools can transform your investigative capabilities, request our full tech letter for a complete analysis and implementation guide. 

Introducing De-identification feature in MD-VIDEO AI

Introduction 

In the rapidly evolving landscape of digital forensics, the intersection of evidence management and privacy protection presents unprecedented challenges. As organizations navigate through increasing volumes of digital evidence while adhering to stringent privacy regulations, the need for sophisticated tools has never been more critical. Today, we’re introducing a groundbreaking addition to MD-VIDEO AI: our comprehensive De-identification feature. 

 

The Privacy Challenge in Modern Forensics 

Digital evidence analysis has become increasingly complex, with investigators handling vast amounts of video data containing sensitive personal information. Traditional methods of managing this sensitive content often resulted in: 

  • Time-consuming manual redaction processes
  • Inconsistent privacy protection measures
  • Delayed evidence sharing between agencies
  • Limited collaboration due to privacy concerns

 

Our Solution: Advanced De-identification Technology 

To address these critical challenges, MD-VIDEO AI introduces a comprehensive de-identification feature that transforms how forensic teams handle sensitive video evidence. This new capability revolutionizes the traditional approach by providing: 

  • Automated masking tools that reduce processing time
  • Flexible selection and automated tracking of video frame area 
  • Standardized privacy protection protocols ensuring consistent results
  • Selective data preservation, maintaining essential information while removing sensitive content
  • Enhanced investigation efficiency through privacy-compliant collaboration 

Our intuitive interface combines powerful functionality with ease of use, enabling investigators to focus on their core mission while maintaining the highest standards of privacy protection. 

 

How to Use De-identification 

MD-VIDEO AI’s de-identification feature offers a streamlined, user-friendly workflow designed for efficient privacy protection in forensic investigations.  

 

Start by creating a new task in the main explorer, where you can import your video evidence and manage your project settings.  

Using the interactive video player, investigators can easily drag-select specific areas that require anonymization directly on the screen. 

  1. Menu: Start a new task, save it in the main explorer, or export the results to a desired location on PC. 
  2. Player: Play an imported video. You can drag-select the area on the player screen to apply blur or mosaic effects for de-identification. 
  3. De-Identification Settings: Select the type of effect to apply in the masked area and adjust the time range, size, or position of the mask. 
  4. Timeline: A workspace where you can manage the playback position of video, tracks, and clips. 

The De-identification Settings panel provides comprehensive control over the anonymization process, allowing users to choose between blur and mosaic effects, adjust mask intensity, and fine-tune time ranges and positions. For precise control over the video timeline, a dedicated workspace enables management of playback position, tracks, and clips, ensuring frame-accurate de-identification. These tools work seamlessly together, enabling investigators to efficiently protect sensitive information while maintaining the integrity of their evidence. Once processing is complete, users can export their results to their desired location on their PC, with the final output preserving both privacy requirements and video quality. 

 

Conclusion 

The introduction of De-identification in MD-VIDEO AI represents a significant advancement in digital forensics technology. By enabling secure and efficient evidence sharing across agencies while protecting sensitive information, we’re helping organizations accelerate their investigations without compromising privacy requirements. 

Stay tuned for more technical insights and updates on MD-VIDEO AI’s evolving capabilities. 

For detailed information and technical support, please contact to our sales team.