Mangaluru, July 10: Last rites of former higher education minister Bajpe Abdul Khader Mohidin (B.A Mohidin) was held at Bajpe Eidgah Juma masjid on Tuesday, July 10 with all government respect.

District commissioner of Dakshina Kannada Sasikanth Senthil performed  government respect.

B.A Mohidin was not doing well since many days and was admitted to a hospital in Bengaluru. However, he breathed his last on Tuesday morning. His mortal remaining was brought to the city in an escort vehicle and was later taken to his residence in Bajpe at 4: 50pm.

Thousands of people including dignitaries, relatives and locals visited Bajpe to pay their last respect.

Dignitaries pay their last respect:

Legislative assembly speaker Ramesh Kumar, housing minister  UT Khader, member of assembly Oscar Fernandes, MP Nalin Kumar Kateel, DC Sasikumar Senthil, incharge DC Kumar , Mangaluru city police commissioner Suresh , former minister Ramanath Rai, Abhayachandra Jain, MLC Ivan D'souza, president of Yenepoya groupY Muhammad Kunhi , chancellor of Yenepoya university Y Abdulla Kunhi , state minority development corporation president MA Gafoor, senate member of Rajiv Gandhi health university UT Ifthikar Ali, senior folklore scholar Prof. BA Viveka Rai, former MLA BA Moideen Bava ,Shakuntala Shetty,  former president of Beary literature academy MB Abdul Rahiman , BA Muhammad Haneef, founder president of Talent research foundation Abdul Rauf Puttige, Hidaya foundation Kasim Ahmed, member of state food commission Muhammed Ali, former president of D.K district Wakf advisory committee SM Rasheed Haji, Muda president Suresh Ballal, former mayors Divakar,Gulzar Banu, educationist,Shashidhar Hegde, Basheer Baikampady,Zilla Panchayat Member KK Shahul Hameed, Prakash Shetty Thumbe, Akshara Santa Harekala Hajabba,Magaluru Mayor Bhaskar Moile, Deputy Mayor Muhammad KunjathBail, Muhammad Nazeer, Sayyed Muhammed Byari, Siddiq  Byari,, Abdurahiman Kuttethuru member of beary academy and many others paid their last respect.

 

 



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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.