Mangaluru: Bearys Institute of Technology (BIT), Mangaluru, successfully conducted a Three-day 1st International Faculty Development Program (FDP) on "New Age Alloys and Composites in the Advent of AI, ML, and 3D Printing" from April 7th to 9th, 2025. The program brought together leading academicians, researchers, and industry professionals from across the globe to discuss the convergence of advanced materials with emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Additive Manufacturing (3D Printing) with over 230 participants in each session.

The event was inaugurated in the presence of Principal Dr. SI Manjur Basha, who emphasized the significance of integrating interdisciplinary technologies in engineering education and research. Dr. Vasantha Kumar, Head of the Department of Mechanical Engineering welcomed the gathering and highlighted the department’s commitment to fostering innovation and knowledge exchange through such global platforms.

Esteemed guests who delivered keynote sessions and technical talks during the program included Dr. Jinoop Arackal Narayanan from Teeside University, UK, Dr. K R Ramkumar from Iowa State University, USA, Dr. Manjiah from NIT Warangal and Dr. Sathyashankara Sharma from MIT Manipal. Their sessions covered cutting-edge developments in smart materials, AI-powered materials design, sustainable composites, and the future of digital manufacturing.

The FDP was coordinated by Dr. Sandeep Nambiar S Assistant Professor and Prof. Prithviraj M., Assistant Professor in Department of Mechanical Engineering, who ensured the smooth execution of the sessions, workshops, and interactive discussions. Faculty members from various institutions across India and abroad actively participated, making it a dynamic and enriching experience for all attendees.

The program concluded with a vote of thanks delivered by Dr. Imran Mokashi, Associate Professor in Department of Mechancial Engineering.

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TraceX Labs has announced the launch of GEOX AI, an advanced artificial intelligence platform capable of identifying the real-world location where a photograph or video was taken using only the visual content within the media.

Positioned as an enterprise-grade intelligence solution, GEOX AI leverages advanced computer vision and multi-agent AI to analyze pixel-level details such as architecture, road patterns, vegetation, signage, lighting, and environmental context. By interpreting these visual clues, the system can estimate—and in many cases precisely determine—the origin of an image or video.

AI-Powered Geolocation Intelligence

Marketed under the concept of “Locate Anywhere From Any Image,” GEOX AI is designed for intelligence operations where speed, accuracy, and reliability are critical. The platform currently supports:

  • 400+ analyses available
  • <10 seconds average response time
  • Up to 99% accuracy on landmark-based identification
  • Global coverage across diverse terrains and environments

Core Capabilities

GEOX AI integrates multiple intelligence features into a single platform:

  • Precise Geolocation:
    Identifies exact geographic coordinates using visual landmarks, architecture, vegetation, and cultural indicators.
  • Satellite Map View:
    Results are plotted on live satellite imagery with 2D/3D viewing options and multiple map styles for deeper analysis.
  • AI Reasoning Analysis:
    Provides a detailed explanation of how the system arrived at a conclusion, including confidence scoring.
  • Multi-Result Analysis:
    Returns multiple possible locations ranked by confidence, enabling cross-verification.
  • Intelligence PDF Export:
    Allows one-click generation of professional reports containing maps, coordinates, analysis, and structured findings.
  • Credit-Based Access:
    Agencies are allocated credits, with each analysis consuming one credit. Additional credits can be requested directly.

Speed Meets Intelligence

GEOX AI is designed to balance rapid processing with analytical depth:

  • Fast Mode: Delivers results within seconds for clear and high-context images
  • Advanced Mode: Performs deeper multi-step analysis for complex or ambiguous visuals
  • Built for real-time decision-making in high-pressure environments

How GEOX AI Works

The platform follows a simple and efficient workflow:

  1. Upload any image or video frame
  2. AI analyzes visual clues such as structures, terrain, and environment
  3. The system identifies location with coordinates, confidence score, and reasoning
  4. Results are displayed on an interactive satellite map
  5. Export a professional intelligence report in one click

A Breakthrough for Investigations

GEOX AI is expected to have wide-ranging applications across multiple domains:

  • Tracking the origin of images from social media and open sources
  • Supporting digital forensics and cyber investigations
  • Assisting law enforcement and intelligence operations
  • Helping journalists and OSINT analysts verify visual content
  • Providing support in missing person cases and threat intelligence scenarios

Enterprise Access and Deployment

GEOX AI is available to verified law enforcement agencies, intelligence organizations, and authorized enterprises. Access is provided through a structured system where organizations can request credentials and define their operational use cases.

Interested users can request access via tracexlabs.com or contact contact@tracexlabs.com, with response times typically within 24–48 hours.

Privacy Debate Intensifies

The launch of GEOX AI has also sparked renewed discussion around digital privacy. By demonstrating how location data can be extracted purely from visible elements within images, the platform highlights the potential risks associated with sharing photos online without considering what those visuals may reveal.

Conclusion

With GEOX AI, TraceX Labs is entering the rapidly evolving geolocation intelligence space with a platform that combines speed, precision, and real-world usability. As artificial intelligence continues to advance, tools like GEOX AI are expected to play a critical role in shaping the future of investigations, security, and digital intelligence.