Udupi, July 09: Underworld fugitive don Bannanje Raja, who has been in Belagavi jail for the last four years, met his sick mother at his home at Sasithota of Katapadi on Monday following the permission from the Principal District and Sessions Court and spent around 9 hours from morning to evening with his family amidst tight police security.
Bannanje Raja who came from Belagavi on Sunday and stayed in the Udupi city police station lock-up, was taken to his home at Sasithota on Monday at 9 am under the tight police security led by Udupi circle inspector Manjunath and allowed him to stay with his 80-year-old sick mother Vilasini.
During his visit, Raja’s father 81-year-old M Sundar, brother Arun and his wife, children, wife Vasanti and two children of another brother who died a few years ago, and Raja’s wife Sonam and his children who came from Bengaluru were present at the house. Mother of Bannanje Raja was a retired teacher, while his father was a retired revenue inspector.
When Arun brought breakfast, police verified it and allowed him to take it inside the house. For lunch, the family members prepared chicken curry, roti and fish dishes for Bannanje Raja, family sources said.
On Monday morning, SP Lakshman Nimbaragi, ASP Kumarachandra and Udupi DySP Kumaraswamy visited the house of Bannanje Raja and inspected it.
Bannanje Raja, who went underground in 2015, was arrested in Morocco in South Africa and brought him to Bengaluru. Being the accused in several cases including a murder in Karwar, shoot-out in Airodi Jewellers in Udupi and others, he was in Belagavi jail for the last four years.
Night stay in lock-up
The police brought Bannanje Raja from his home of Kalmadi to the city police station at 6 pm and kept him in the lock-up and he would spend his night in the lock-up.
Even in the lock-up, the police set up three CCTV cameras to keep a vigil on his movements. After conducting medical check up on him at the district hospital, he would be taken to the Belagavi jail with tight police security, police sources said.
House was under CCTV surveillance
From Malpe-Udupi main road, tight police security was deployed till his house, which is around 300 mts from the main road. DAR police were deployed on the main road and the interior road leading to his house. Apart from this, barricades were put up around 100 mts away from his house and in front of his house. Four CCTV cameras were installed inside and outside the house. Police security was beefed up around his house. No one including his relatives, neighbours and media persons was allowed inside the house.
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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.
