Bengaluru: Retired army colonel duped of Rs 56 lakh by fraudsters posing as Mumbai police
Bengaluru (PTI): An 83-year-old retired Army colonel here became the latest victim of online fraud, losing Rs 56.05 lakh after scammers impersonating Mumbai police officers threatened him with arrest.
An FIR was registered at the Central CEN crime police station on November 18, officials said on Friday.
According to the FIR, the victim received a call on October 27 from a man identifying himself as Mumbai police Inspector Sanjay Pishe, who claimed that a SIM card issued in the complainant’s name had been used to abuse the public.
When the elderly man said he was unable to travel to Mumbai for an inquiry, he was connected via video call to a woman identifying herself as senior officer Kavita Pomane, and later to another person named Vishwas, who claimed to be a higher official.
The callers told him the inquiry would be conducted online and allegedly extracted his personal, family and bank details while threatening him with arrest if he disclosed it to anyone, it said.
They also demanded his live location every three hours and instructed him to share his bank details on WhatsApp for “RBI verification”, the FIR stated.
Believing them, the complainant shared details of four bank accounts and, on their instructions, transferred Rs 6 lakh and Rs 5 lakh from his bank account to another account as specified by the fraudsters.
Later, he was directed to liquidate his mutual funds and other investments. He then transferred another Rs 35.05 lakh from his bank accounts and Rs 10 lakh more to the same bank account specified by the fraudsters.
When he sought a refund, the impostors claimed that RBI was verifying the funds and would return the money within three days.
Based on the victim's complaint, a case was registered under relevant sections of the Information Technology Act and section 318(4) (Cheating) of the Bharatiya Nyaya Sanhita, police said, adding that further investigation is underway.
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How Indian AI Is Booming with GEOX AI Leading the Next Wave of Geolocation Intelligence
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.
