Bengaluru: Chief Minister Siddaramaiah has given in-principle approval to create a separate cadre for wildlife veterinarians and recruit 15 doctors soon, Forest Minister Eshwar Khandre said on Tuesday.

He held a video conference with heads of all nine zoos after 31 blackbucks died under unusual circumstances at the Kittur Rani Chennamma Mini Zoo in Belagavi. He directed zoo officials to take immediate preventive measures with the help of available veterinary staff until new wildlife doctors are appointed.

Veterinarians have confirmed that an infection caused by bacteria led to the blackbuck deaths. Khandre instructed officials to study whether the infection spread through air, water, food or handlers, and to ensure that it does not reach other animals.

The minister also asked the Zoo Authority to prepare a Standard Operating Procedure for handling such disease outbreaks, along with guidelines for managing wild animals in zoos and rescue centres. He said the SOP must be followed strictly.

Khandre directed that whenever animals die in zoos or wildlife centres, officials must not delay post-mortem examinations and must send reports to the government immediately. He said the deaths of 31 blackbucks serve as a warning, and added that the remaining seven blackbucks are also infected and require urgent treatment. All zoos in the state have been asked to take precautionary measures.

Referring to the recent death of a gaur that was being transported from Bannerghatta to a neighbouring state, he said complaints indicated negligence by officials. A team will be formed to investigate the incident, and staff will be given training in handling wild animals.

Zoo Authority of Karnataka chairman Hadya Rangaswamy, Principal Chief Conservator of Forests (Wildlife) P.C. Rai and senior officials took part in 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.