Publication2026
IoT-Enabled Real-Time Obstacle Detection, Environment Monitoring, and Automated Train Stopping System
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- 2026 International Conference on Electric Power and Renewable Energy Eprec 2026
- Published
- 1 January 2026
- DOI
- 10.1109/eprec66546.2026.11412323
- Scopus ID
- 105036385747
- Authors
- 6
- 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
IoT-based railway obstacle detection and automated train stopping system directly address safe and sustainable transport infrastructure and accident prevention.
- 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
Multi-sensor fusion and IoT integration represents research innovation in smart transportation systems.
- 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-4.4 Public safety, cybersecurity and national security
Real-time safety monitoring and automated incident prevention for railway systems directly enhance public safety and transport security.
- 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.
Evidence
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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. “IoT-Enabled Real-Time Obstacle Detection, Environment Monitoring, and Automated Train Stopping System”. Kortex.