New Delhi, October 30: As the state has incurred Rs 16,662.48 crore worth loss following crops damage due to drought situation, the state government has appealed the centre to provide Rs 2,434 crore compensation under Natural Disaster Relief Funds (NDRF).
After submitting a proposal to Union Home Minister Rajnath Singh in New Delhi on Tuesday, Revenue Minister R.V Deshpande and Agriculture Minister Shivashankar Reddy told reporters that crops worth Rs 15,294.37 crore grown in 26.18 lakh hectares of land in the state was damaged due to drought situation. Apart from this, horticulture crops worth Rs 1,368.11 crore grown in 1.94 lakh hectares were also damaged. In view of this, the centre should immediately send a team of officials to study the drought situation, they demanded.
If the state had received good monsoon rains, sowing process would have completed in 74.69 lakh hectares. But till September end, the sowing was over in just 63.36 lakh hectares. In view of the drought situation, 100 taluks in the state were declared as drought affected. Out of 3,611 tanks under Minor Irrigation department, only 53 per cent of the tanks have water. Currently, drinking water is being supplied through tankers in 159 villages in rural areas and 136 wards in urban areas. For supplying drinking water, the government has taken over 203 private bore wells, they said.
For the livestock, the government has kept 98.26 metric ton fodder ready and it would suffice for next four months. In order to supply fodder in coming days, the government has distributed 8.11 lakh fodder producing kits to the farmers who have irrigation facility. If the drought situation continued in the same pace, the government has planned to open gaushalas and fodder storage centres, Deshpande said.
In order to handle the drought situation, Rs 100 crore and Rs 50 crore was released from the NDRF and the state government respectively. Out of this amount, each drought-affected taluk was given Rs 50 lakh. Total 6.36 lakh families in drought affected taluks were given jobs, for which Rs 1042.93 crore was spent, Deshpande said.
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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:
- Upload any image or video frame
- AI analyzes visual clues such as structures, terrain, and environment
- The system identifies location with coordinates, confidence score, and reasoning
- Results are displayed on an interactive satellite map
- 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.
