Online payment system launched in Mangaluru to collect rent on MCC properties
Mangaluru: A digital payment system was officially launched on Thursday by Mangaluru City Corporation Mayor Manoj Kumar at the MCC office on Thursday for collection of rent from tenants of MCC properties, including commercial complexes, market areas, function venues and open areas.
The MCC earns revenue of Rs 3.4 crore annually from the 1,070 shops it owns in 30 markets on Kudmul Ranga Rao Road, Town Hall, Dr. BR Ambedkar Bhavan and open grounds at Urwa, Kadri, Yemmekere, Jeppu, Kavoor, and the Nehru Maidan, reports Times of India.
Tenants on all such areas may pay their rent through www.mccportal.in, instead of physically visiting the MCC office. This new system also enables shop owners in the markets to settle their rental dues through the web portal.
The mayor, however, clarified that people who wished to book open grounds and function halls would have to visit the MCC office, where the staff will handle the online booking on their behalf. He further explained that the rule was implemented as a precautionary measure, as permitting direct online bookings could potentially lead to misuse and deliberate blocking of these facilities.
Manoj Kumar said that a private firm had developed the new online payment system at a cost of Rs 3.5 lakh.
MCC officials opined that the use of an online payment system would prevent any act of corruption. A QR code might also be introduced by the Corporation to prevent unauthorized hoardings within Mangaluru City limits. While the MCC earns an annual rent up to Rs 2.5 crore from hoardings, a survey of the hoardings was launched and people who had taken the hoardings on rent were asked to submit details to the Corporation officials, they added.
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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.
