Publication2025
Design of a Multi Camera Enabled Scrutinizing Framework for Smart Cities
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 2025 International Conference on Artificial Intelligence and Machine Vision Aimv 2025
- Published
- 1 January 2025
- DOI
- 10.1109/aimv66517.2025.11203693
- Scopus ID
- 105021802275
- Authors
- 5
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
11 Make cities and human settlements inclusive, safe, resilient and sustainable
Multi-camera surveillance framework with edge computing and AI algorithms enhances smart city safety and public service delivery.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.2 Technology for public service delivery
Smart city surveillance technology supports public safety and governance infrastructure.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Design of a Multi Camera Enabled Scrutinizing Framework for Smart Cities”. Kortex.