June 12th Karnataka Mirror Current Affairs

Krishnaraja Wodeyar Award Conferred on Dr. S. Krishnamurthy

Key Highlights:

  • Event Location: Kannada Sahitya Parishat, Bengaluru\
  • Awardee: S. Krishnamurthy
  • Award: Sri Krishnaraja Wodeyar Award
  • Age of the Awardee: 89 years

About the Event:

  • The award ceremony was jointly organized by:
    • Kannada Sahitya Parishat
    • Karma Mitra Kendra
    • Hampi Kannada University
  • The award was conferred by former Hampi University Vice-Chancellor Hampana.

Highlights of the Award Ceremony:

  • S. Krishnamurthy was honored for his four decades of contribution to Kannada language, literature, and research.
  • His services in language development, literary research, and institutional leadership were acknowledged.

Remarks by Dr. Hampana:

  • “Dr. Krishnamurthy truly deserves the Sri Krishnaraja Wodeyar Award after four decades of dedicated work.”

Emphasized the significance of his work in Kannada literature and cultural preservation.

Kannada Kayaka Shree Award Conferred to B.R.Lakshmanrao

Key Information:

  • Award Title: Kannada Kayaka Shree (ಕನ್ನಡ ಕಾರ್ಯಶ್ರೀ)
  • Awardee: Lakshmanrao
  • Announced by: Indian Institute of Linguistics and Arts (ಭಾರತೀಯ ಭಾಷಾ ಕಲೆಗಳ ಸಂಸ್ಥೆ), Bengaluru
  • Occasion: On the 22nd annual day of the organization

About the Awardee:

  • Lakshman is known for his contributions to the Kannada language, especially in:
    • Sociolinguistics
    • Language activism
    • Literary and academic leadership
  • He has actively promoted Kannada at the grassroots level, especially in urban administration and policy advocacy.
  • He has held important posts in government and academia, working to integrate Kannada in governance.

Highlights from the Award Announcement:

  • The award was presented in recognition of his 22 years of dedicated service to the Kannada language movement.
  • The event emphasized the importance of language rights and administrative implementation of Kannada.

He has contributed significantly to policy formation and awareness building about Kannada as an administrative language.

Peenya Industrial Area Declared as Special Investment Region (SIR)

Key Announcement:

  • Karnataka Government has notified 1,461.46 acres of Peenya Industrial Area as the Peenya Special Investment Region.
  • Covers Phases 1, 2, 3, and 4 of the industrial area.

Governance and Tax Allocation:

  • Karnataka Industrial Areas Development Board (KIADB) designated as the Regional Development Authority and industrial township authority.
  • As per the notification:
    • 70% of property tax will be used for infrastructure development & maintenance within the region.
    • 30% of property tax will be shared with the local body.

Powers and Autonomy:

  • Under Karnataka Special Investment Region Act, 2022:
    • Local authorities will have no jurisdiction over the SIR.
    • The Regional Development Authority (KIADB) will handle:
      • Development,Operation,Regulation,Management,Infrastructure provisioning

Industry Reactions:

  • Welcomed by:
    • Karnataka Small Scale Industries Association (KASSIA)
    • Peenya Industries Association (PIA)
  • G. Rajagopal (President, KASSIA)

Shiva Kumar R. (President, PIA)

Facial Recognition for School Attendance – Karnataka

Context:

  • Karnataka govt. to roll out Facial Recognition System (FRT) for attendance in govt. primary and high schools within two months.

Key Highlights:\

  • Announced by School Education Minister Madhu Bangarappa.
  • Budget allocation made by the Chief Minister.
  • Aim: To ensure efficiency and transparency in student attendance tracking.

Facial Recognition Technology (FRT) – Basics

What is FRT?

  • AI-based system that identifies or verifies a person using facial images or video data.

Types of Use:

  1. 1:1 Verification – Match one face to one profile.
    g., unlocking phone.
  2. 1:n Identification – Match one face to a large database.
    g., surveillance.

How FRT Works:

  1. Capture – Detect face in photo/video.
  2. Extract Data – Map unique facial features (e.g., eye distance, jaw shape).
  3. Compare – Match with database images.
  4. Identify/Verify – Confirm the person’s identity.

 

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