Udupi: Mosques in the rural areas of the district will be opened in a couple of days, but those in urban and highly populated areas will remain closed, the Udupi District Muslim Federation has decided today.

The unanimous decision was taken in an interim meeting held at the Jamia Masjid in the city today.

Federation president Yaseen Malpe said that the government has permitted reopening of the mosques that had been shut on account of the Covid-19 lockdown. The meeting was called in order to instruct the administrative committees of mosques on opening the mosques.

“In the present situation, the mosques in rural areas can be reopened in a couple of days. We should make sure that the mosques are not reopened with Friday weekly prayers. And instead, we should reopen mosques on days other than Friday” he said adding, that the Friday prayers attract a huge gathering of devotees.

The administrative committees have also been directed to organize Friday weekly prayers with more than one Jamaat in all mosques to avoid overcrowding during the weekly prayers.

Malpe added that the mosques near the town, the national highway, the urban areas, the bus stands, and the railway stations should not be opened at present. “We will need to analyze the situation in the coming days before deciding to open the mosques in these areas,” he said.

“The administrative committees have been instructed to take a decision on who can be permitted to attend the Namaz in their respective mosques. The social distancing rule and other precautionary measures should be compulsorily followed on all such occasions. In case of violation of the guidelines, the respective administrative committees will be held responsible for any untoward incident and repercussions that may follow,” the president warned.

Federation general secretary Mohammad Moula, Treasurer Iqbal S Katpady, Vice Presidents Ashfaque Ahmed Karkala and Shabaan Hangluru, Former President M P Modinabba, PFI District President Nazeer Ambagilu, social activist Iqbal Manna, and seniors Aboobakar Nejar, Abdur Rahman Razvi Kalkatta, Ismail Atrady, Khateeb Rashid, Mohammad Sheesh, Hussain Kodibengre, Hasan Mavad Byndoor, Shafi Qazi, Ibrahim Kota, I M Jafarullah Hoode, Munaf Kandluru, Aziz Udyavara, Salauddin Abdulla and Mohammad Ghouse were present at the meeting.

Let the Truth be known. If you read VB and like VB, please be a VB Supporter and Help us deliver the Truth to one and all.



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.