Mangaluru: The 2nd Muloor-Addur Jodukere Kambala festival will be organized in the fields near Manibettuguttu in Gurupura on Saturday, April 12, the Kambala Organization Committee President Inayat Ali has told the media.
This is the final kambala programme in the district for the year. The Committee, which is completing the preparations, has planned to make it special by installing floodlights, Ali has said, adding that more than 200 pairs of buffaloes are expected to participate in the show this year.
Addressing a press meet on Thursday, the Committee President said that the stage programme will be inaugurated at 6:30 pm on Saturday by Deputy Chief Minister DK Shivakumar, in the presence of Speaker UT Khader and District In-charge Minister Dinesh Gundu Rao.
The programme will be inaugurated by president of the Bunts’ association Ajit Kumar Rai Maladi. Also, the event is to be held in the presence of various religious heads, including Harinarayana Das Asranna, priest of the Shri Durgaparameshwari Temple, Kateel, V Rev. Fr. Rudolph Ravi D’Sa, priest of the Pompei Church in Gurupura, and Kaikamba Asraruddin Masjid head Abdul Kabeer Darimi.
Speaking further on the special features of the kambala event this year, Ali said that tents of German-make will provided to the participants and a digital platform will be set up for the programme.
Committee Honorary President Padmanabh Kotian, said that, in addition to the formal kambala event, a Yakshagana programme, ‘Yaksha Vasundhara’, is to be organized by the Karnataka Yakshagana Academy at 10 am Saturday. A show in honour of Yakshagana teacher late GT Annu Bhat, a discussion on performance as per the Thenkuthittu school of Yakshagana, Talamaddale and an overnight Yakshagana show will be held on the occasion.
Ali has said that the owner of every buffalo that participates in the kambala race will be honoured with a silver coin. Kambala star ‘Dooja’ buffalo, which has won the race a record 69 times, will be felicitated. The Postal Department will also release a stamp in honour of ‘Dooja’ during the event.
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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
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Core Capabilities
GEOX AI integrates multiple intelligence features into a single platform:
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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:
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How GEOX AI Works
The platform follows a simple and efficient workflow:
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A Breakthrough for Investigations
GEOX AI is expected to have wide-ranging applications across multiple domains:
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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.
