No Pain Device: Empowering Personal Safety with an Artificial Intelligence-Based Nonviolence Embedded System

Author:

Giorgio Agostino1ORCID

Affiliation:

1. Department of Electrical and Information Engineering, Politecnico di Bari, Via E. Orabona, 4, 70125 Bari, Italy

Abstract

This paper presents the development of a novel anti-violence device titled “no pAIn” (an acronym for Never Oppressed Protected by Artificial Intelligence Nonviolence system), which harnesses the power of artificial intelligence (AI). Primarily designed to combat violence against women, the device offers personal safety benefits for individuals across diverse demographics. Operating autonomously, it necessitates no user interaction post-activation. The AI engine conducts real-time speech recognition and effectively discerns genuine instances of aggression from non-violent disputes or conversations. Facilitated by its Internet connectivity, in the event of detected aggression, the device promptly issues assistance requests with real-time precise geolocation tracking to predetermined recipients for immediate assistance. Its compact size enables discreet concealment within commonplace items like candy wrappers, purpose-built casings, or wearable accessories. The device is battery-operated. The prototype was developed using a microcontroller board (Arduino Nano RP2040 Connect), incorporating an omnidirectional microphone and Wi-Fi module, all at a remarkably low cost. Subsequent functionality testing, performed in debug mode using the Arduino IDE serial monitor, yielded successful results. The AI engine exhibited exceptional accuracy in word recognition, complemented by a robust logic implementation, rendering the device highly reliable in discerning genuine instances of aggression from non-violent scenarios.

Publisher

MDPI AG

Reference60 articles.

1. (2024, March 26). Available online: https://fra.europa.eu/en/publication/2014/violence-against-women-eu-wide-survey-main-results-report.

2. (2024, March 26). Available online: https://www.istat.it/it/violenza-sulle-donne/il-fenomeno/omicidi-di-donne.

3. (2024, March 26). Available online: https://www.rainews.it/articoli/2022/11/istat-violenza-donne-femminicidi-famiglia-42c5e092-8d4e-44a7-85a2-b0f52801ff98.html.

4. (2024, March 26). Available online: https://www.internazionale.it/bloc-notes/giulia-testa/2019/11/25/dati-grafici-violenza-genere.

5. (2024, March 26). Available online: https://www.ansa.it/sito/notizie/mondo/europa/2023/11/25/record-femminicidi-nel-mondo-nel-2022-quasi-89.000-donne-uccise_b3349caf-4aed-40d8-9438-01ae34fe53a0.html.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3