Here's how people of DK and Kasargod can commute between their Districts
Mangaluru: District Administrations of Kasargod and Dakshina Kannada have issued Standard Operating Procedures (SOP) for people to travel between the two neighboring Districts that are part of two different states.
Hundreds of residents of both districts commute between their respective Districts daily for jobs and studies, the current lockdown due to COVID 19 spread has affected the movement of the people.
With the lockdown relaxed and the nation now heading towards a phased exit from the lockdown, Dakshina Kannada Deputy Commissioner, Sindhu B Rupesh said the students and people of Kasargod working in Dakshina Kannada will be issued special travel passes for daily use.
“People in Kasargod, who wish to get the passes to Dakshina Kannada, should register at https://bit.ly/dkdpermit the applicants should also provide their complete details, the address proof, and details of the employer in Dakshina Kannada, Aadhaar card copy while registering their name.” said the deputy commissioner.
“The passes, which will be issued by Mangaluru Assistant Commissioner, will be valid till June 30,” she added.
The Kasargod district collector has said that people from Dakshina Kannada who need passes to visit Kasargod should register with the Covid-19 Jagratha portal. The passes will be issued by the district administration and will be valid for 28 days.
Both the district administration heads said that the officials at the Talapady check-post will record the pass details of the users on a daily basis. There will also be a round of thermal screening at the check-post and only asymptomatic people will be permitted to enter the other district.
Rupesh warned that people who fail to report their exit from Dakshina Kannada will be put under quarantine by the Taluk administration and action will also be taken against them under the Epidemic Act.
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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.
