Sivakumar Explains Why He Knocked The Phone Out From Fan's Hand After Clip Goes Viral
New Delhi, Oct 30: A video of Tamil actor Sivakumar snapping the phone out of a fan's hand at a public event has put the 77-year-old actor in the bad book of social media.
The Internet dubbed Sivakumar as "arrogant" but the actor defended himself in an interview with Behindwoods and said: "It is a courtesy to ask any celebrity or any person before they start clicking photos with them. A celebrity cannot be treated or taken for granted as a public property. I am someone, who has never hesitated to take photos at airport and any gatherings with hundreds and thousands of people." He added that celebrities deserve "privacy and respect too."
In the interview, Sivakumar also said that when he arrived at the venue, he was "disappointed" to see 20-25 people clicking selfies by pushing the volunteers and guards accompanying him. However, in the video circulating on the Internet, the fan from whose hand the phone was knocked out, was standing at a considerable distance from the actor.
However, Sivakumar was unmoved by Twitter's reaction and told Behind Woods: "I am not claiming myself as Buddha or a saint, but an ordinary person like you and am leading a life that I love. Moreover, I am not requesting anyone to accept me as their leader or inspiring hero. Everyone is a hero in their own lives with their own ideologies, but at the same time, we should think at least for a while on how some of our deeds might affect others."
Sivakumar has featured in over 100 films in a career spanning four decades. He was mostly cast in supporting roles and he has co-starred with top actors like Gemini Ganesan, Shivaji Ganesan and Jayalalithaa.
Sivakumar's sons are actors Surya and Karthi.
Courtesy: www.ndtv.com
Watch viral clip here:
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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.
