Journal article Open Access

Rakshak – An IoT Based Wearable Device for Women Safety

Ambika Singhal; Shreyans Jain; Keshav Agarwal

Sponsor(s)
Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)

Women safety is a rising concern in many parts of the world. Crimes against women are increasing at an alarming rate. To counter this situation, a technology driven solution with the help of latest technological advancements can be developed. The aim is to develop an IoT based wearable device which works on the concept of voice recognition and allow women in the case of emergency. The device can send SOS messages to nearby help centers and relatives based on the person’s location when it is activated. The device can also collect evidence for further legal procedures and save them in a remote storage. The concepts of Internet of Things (IoT), Voice Recognition and Cloud Computing are used to achieve this. The objective is to use these concepts to develop a working prototype of a smart safety device for women that can help them in such situations and prevent such incidents from taking place. ‘Rakshak’ is an IOT based solution, which will help us to combat these situations effectively. It contains a concealed GSM, GPS, camera, microphone, and voice recognition module. The woman can activate a sequence of events using a voice command. The voice command will send out an SOS signal to contact list, and nearby authorities. The authorities can rush to the location of the incident and prevent it. The camera will start recording as soon as the voice command is activated, and this data will be sent to cloud storage. In case an attack takes place, the footage of this camera will serve as evidence against the attacker. In addition to preventing the incident, this device may create a sense of fear in their minds which may reduce the frequency of such incidents. Thus, this solution can be applicable as a wearable security device in different domains and can be used on a large scale to ensure women safety.

Files (706.3 kB)
Name Size
D8758049420.pdf
md5:7f32d0bd4e1801c35d8271808897ae74
706.3 kB Download
20
16
views
downloads
Views 20
Downloads 16
Data volume 11.3 MB
Unique views 14
Unique downloads 15

Share

Cite as