New Delhi: The Supreme Court issued notice to RJD chief Lalu Prasad Yadav on Friday on a plea challenging the bail granted by the Jharkhand High Court in one of the fodder-scam cases.
A bench, comprising Chief Justice of India S A Bobde and Justices B R Gavai and Surya Kant, sought response from Yadav on the plea filed by the Central Bureau of Investigation.
The CBI has challenged the July 12, 2019 order passed by the high court at Ranchi, saying it had "erroneously" suspended the sentence awarded by the trial court and released the Rashtriya Janata Dal chief on bail in one of the fodder-scam cases.
The high court had granted Yadav bail in the case of fraudulent withdrawal of Rs 89.27 lakh from the Deoghar treasury on the ground that he had served half of his prison term of three-and-a-half years.
Yadav was convicted in four fodder scam cases pertaining to fraudulent withdrawal of money from Deoghar, Dumka and Chaibasa treasuries in Jharkhand. He was convicted in two cases for fraudulent withdrawals from the Chaibasa Treasury.
Besides the Deoghar Treasury case, he has secured bail in one of the Chaibasa cases.
The RJD chief is also facing a fifth fodder scam case pertaining to fraudulent withdrawal of money from Doranda Treasury. Yadav has been in a prison here since December 2017.
The CBI in its plea said that in so far as Lalu's medical condition is concerned, it is only an trick to mislead the court as the "respondent who claimed to be so unwell that he could not even remain in jail but was required to be hospitalised, suddenly claimed to be fully fit physically and sought bail on the ground that being a Founder and President of Rashtriya Janata Dal, a political party, his release is required to guide the party and carry out all essential responsibilities as a President of the party in 2019 general election to the Lok Sabha".
"Thus, it was the case of the petitioner that the respondent has been awarded a total sentence of 31 years i.e. 372 months in four cases keeping in view the mandate of Section 31 and 427 of CrPC. In the present case, he has been awarded a sentence of 7 years... i.e. cumulatively 84 months out of which he has undergone only 31 months approx. i.e. 11 months approximately before the conviction and 3 months after the conviction in jail and for the remaining period of 17 months, he remained in hospital on medical grounds," the agency said.
The CBI said that that Lalu's case is completely distinct and different from the cases of other co-convicts as he was the "kingpin", the main conspirator and benefactor who devised and executed the fodder scam cases by abusing his official position and by dishonestly and fraudulently misappropriating the government money by withdrawing huge amounts in excess of actual allotments from District Treasury, Deoghar on the basis of forged allotment and sub-allotment letters.
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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.
