Safety Detection System using Sound
DOI:
https://doi.org/10.32628/CSEIT25112766Keywords:
Safety detection, Sound-based safety system, lOT-enabled safety device, Audio signal processing for safety, Machine learning for sound detection, Emergency response systemAbstract
The project aims to develop an innovative women's safety system integrating voice analysis, IoT, and machine learning to efficiently detect emergency situations. A comprehensive solution is proposed, utilizing PySound for speech-to-text conversion and machine learning algorithms to identify emergency words. Integration with IoT devices like Node MCU facilitates seamless data transfer, while location tracking using GPS or Wi-Fi ensures accurate emergency response. Live streaming capabilities during emergencies, coupled with stringent security measures, enhance user safety. Realtime alerts to predefined contacts upon detecting harmful words further bolster the system's effectiveness, emphasizing swift action in critical situations. Additionally, vital parameters such as heart rate and temperature are monitored using sensors like max30100 and DHT to provide accurate assessment alongside voice analysis.
Downloads
References
C Sharmila Suttur, Punya Prabha V,Rakshitha S R,Rapaka Rakshith, Sneha N,Supriya S Mangalgi,"Women Safety System", 2022 4th International Conference on Circuits Control Communication and Computing (14C).
Dhruv Chand, Sunil Nayak, Karthik S. Bhat, Shivani Parikh, Yuvraj Singh, Amita Ajith Kamath,"A mobile application for Womens Safety: WoSApp", TENCON 2015 2015 IEEE Region 10 Conference.
Muskan, Teena Khandelwal, Manisha Khandelwal, Purnendu Shekhar Pandey,"Women Safety Device
Yerra, S. (2024). Improving customer satisfaction with predictive analytics in logistics and delivery systems. Smart Computing Systems, 4(1), https://doi.org/10.61485/SMCS.27523829/v4n1P1
Designed Using loT and Machine Learning",2018 IEEE SmartWorld Ubiquitous Intelligence & Computing Advanced & Trusted Computing Scalable Computing & Communications Cloud & Big Data Computing Internet of (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IO P/SCI).
Satyam Tayal, Harsh Pallav Govind Rao, Abhimat Gupta, Aditya Choudhary,"Women Safety System Design and Hardware Implementation", 2021 9th International Conference on Reliability Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO).
Divya Chitkara, Nipun Sachdeva, Yash Dev Vashisht,"Design of a women safety device", 2016 IEEE Region 10 Humanitarian Technology Conference (R10HTC).
Deepak Kumar,Shivani Aggarwal,"Analysis of Women Safety in Indian Cities Using Machine Learning on Tweets", 2019 Amity International Conference on Artificial Intelligence (AICAI).
V. Hyndavi,N. Sai Nikhita,S. Rakesh, Smart Wearable Device for Women Safety Using loT", 2020 5th International Communication and Conference Electronics on Systems (ICCES).
Malhotra, S., Yashu, F., & Malviya, A. (2024). Serverless mesh architectures for multi-cloud and edge. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 10(1), 326–329. https://doi.org/10.32628/CSEIT2425446
Sakshi Milkhe, Deepika Pomendkar, Tania Rajabally, Sunil Ghane,"Technology100 An Application for Women Safety", 2020 IEEE.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.