An IoT-Based Smart Device for Real-Time Women Safety and Emergency Response
Sumanta Chatterjee1, Bishtu Bhowmick2, Joydeep Kundu3, Parthib Sarkar4, Ahana5, Joy Mondal6, Kushagradhi Bhowmick7
1 Asst. Professor, Department of CSE, JIS College of Engineering, Kalyani, India.
2,3,4,5,6,7 UG Students, Department of CSE, JIS College of Engineering, Kalyani, India.
Abstract - With the increase in sexual violence and harassment complaints, personal safety, especially for women, has become a big issue in today’s society. This Research Work outlines an IoT (Internet of Things) based Smart Device for Women Safety system that proactively prevents such cases and responds when they happen. The proposed system continuously monitors the user’s safety by using several components such as NodeMCU ESP32, fingerprint sensor, GSM module (SIM 800L/A7670C) and GPS module (Neo-6M) which help send alerts in case there is any danger. When in danger the user(Women) gets to activate the machinery that needs her to prove she is the right owner once in every five minutes through a fingerprint detector. If the verification is not done by the user during that set period of time, then GPS module will automatically track her current location and through GSM already registered contacts along with the emergency services number provided by the government for immediate rescue by coops will receive an emergency message containing where she is located. Our Research Work’s main aim is to create a portable, adaptable and low cost make-do gadget which would improve individual security as well as provide prompt help in critical situations. This is an approach to ensure we have the exact location of that person activated the device at all times so that, in case of emergencies no matter what happens she shouldn’t get lost. The design of the gadget is such that it would be possible to place it inside your purse or even carry it around in your hand thereby promoting mobility among women. Thus generally speaking this work seeks forward towards designing a system for real-time monitoring of users based on their geographical position enabling them to avoid dangers preemptively and also seek assistance faster during emergencies anywhere anytime.
Key Words: Women Safety, NodeMCU ESP32, Fingerprint Authentication, GSM Module (SIM 800L/A7670C), GPS Module (Neo-6M).
