Women, particularly young girls and mothers are more likely to face harassment and abuse in public places such as streets, public transportation, and congested locations. To remedy this, we recommend a technologically advanced bangle with Internet of Things (IoT) characteristics to improve women\'s safety. The wearable device includes an emergency button and an inbuilt camera, allowing the wearer to take a snapshot of the abuser as well as geolocation information during an emergency. The collected data is delivered directly to pre-defined emergency contacts on the user\'s smartphone, eliminating the need for additional equipment. The smart bangle is simple to use, and the proactive safety feature provides real-time alerts and support in dangerous situations. The device, which combines IoT and wearable technologies, provides a valid and efficient technique of improving personal protection for women in public settings.
Introduction
The increasing prevalence of harassment and violence against women, often occurring within their own homes, underscores the urgent need for reliable and secure safety systems. Traditional safety measures are often inadequate, prompting the exploration of advanced technologies to enhance women's security. The integration of the Internet of Things (IoT) into safety systems has emerged as a promising solution, enabling real-time interaction between intelligent devices over the internet. This approach allows for more effective data transport between multiple networks, facilitating the development of intelligent and predictive security systems that can improve women's safety by providing real-time notifications and support during emergencies.
A notable example of such an IoT-based safety system is the development of a smart safety bracelet utilizing a Raspberry Pi as the core computing unit. This device is equipped with various sensors and communication modules to detect and respond to distress situations.
Key Features of the IoT-Based Smart Safety Bracelet:
Sensor Integration:
Accelerometer and Fall Sensor: Detects sudden falls, triggering an alert.
Scream Sensor: Automatically identifies distress sounds, such as screams.
Motion Sensor: Monitors movement to detect unusual activity.
GSM Module: Sends emergency alerts via SMS to predefined contacts.
Cloud Server Integration: Transmits sensor data to a cloud server for processing and analysis.
Telegram Bot: Utilizes a Telegram bot (e.g., "WSB_bot") to send emergency notifications, including images, voice recordings, and location data, to emergency contacts.ijert.org+1archive.cps-vo.org+1
Real-Time Monitoring and Response:
Live Location Tracking: Emergency contacts receive real-time updates on the user's location.
Audio Analysis: The Telegram bot can analyze recorded audio to detect distress signals.
Image Capturing: The system captures images of the surroundings and the potential assailant.
User Interface and Interaction:
Mobile Application: Provides a user-friendly interface for system control and monitoring.
Emergency Activation: Users can activate the system through voice commands, manual button presses, or automatic sensor triggers.
This IoT-based smart safety bracelet represents a proactive and efficient approach to enhancing women's safety. By leveraging advanced technologies such as IoT, AI, and cloud computing, the system offers real-time alerts, precise location tracking, and immediate communication with emergency contacts, thereby facilitating a swift response during critical situations.
Conclusion
A significant advancement in improving worker safety across several sectors has been made with the creation of smart helmet technology. Smart helmets provide critical information on environmental conditions and potential threats by integrating technology such as sensors, real-time monitoring systems, and augmented reality. By enabling immediate communication and danger reporting, this technology enhances situational awareness and promotes a proactive safety culture. The recommended approach increases security, reduces the possibility of mishaps, and makes it easier to act quickly in dangerous situations. This smart helmet has the potential to revolutionize safety procedures in mining operations and other dangerous sectors through rigorous testing and validation procedures.
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