Publication2022
Vision Navigator: A Smart and Intelligent Obstacle Recognition Model for Visually Impaired Users
- Industry, Innovation and Infrastructure
- Reduced Inequalities
- Empowered Indians
The record
- Type
- Publication
- Date
- 1 January 2022
- Level
- National
- Journal
- Mobile Information Systems
- Volume
- 2022
- Published
- 1 January 2022
- DOI
- 10.1155/2022/9715891
- Scopus ID
- 85126979492
- ISSN
- 1574017X
- Authors
- 4
- Open access
- Yes
- Citations
- 82
- 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
10 Reduce inequality within and among countries
Smart assistive technology framework enabling independent navigation for visually impaired users achieving 95 percent detection accuracy.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- 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
9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Integration of IoT sensors and recurrent neural networks for real-time obstacle detection.
- 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.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 10 label. Smart assistive technology framework enabling independent navigation for visually impaired users achieving 95 percent detection accuracy.
- 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Vision Navigator: A Smart and Intelligent Obstacle Recognition Model for Visually Impaired Users”. Kortex.