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ABHAYA - Secure Communication Device for Women Safety

2025· article· W7128678391 on OpenAlexaff
E. Priya, Madhumitha Dasarathy, Madhushri L

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicIoT and GPS-based Vehicle Safety Systems
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsEncryptionFeature (linguistics)Wearable computerKey (lock)UsabilityWearable technologySimple (philosophy)

Abstract

fetched live from OpenAlex

This paper introduces a compact and wearable safety device designed to enhance personal security through discreet, real-time communication and evidence gathering during critical emergencies. The device is activated by a simple triple-tap gesture, which triggers simultaneous audio and video recording while transmitting distress signals via radio frequency or Wi-Fi. This feature ensures functionality and connectivity even in areas with weak or no signal. To protect sensitive information, the device includes encrypted storage on an SD card. It continuously captures audio and video, providing vital evidence in emergency scenarios. With its portable and user-friendly design, the device is powered by a rechargeable lithium polymer battery. This innovative technology combines advanced features with ease of use, delivering a reliable, practical, and effective solution for individuals in high-risk situations, thereby enhancing personal safety and security.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.247
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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