Panic Button Research Articles

Blind assistance system for appliance control and public transport safety using CNN, MobileNet V2 and Yolo V8

The purpose of this research is to address the challenges faced by visually impaired individuals, particularly in handling household appliances independently. With approximately 285 million visually impaired individuals worldwide, technological solutions are crucial to enhancing their accessibility and independence. This paper introduces a Smart Assistance System designed to empower visually impaired individuals to interact with household appliances in real-time without assistance. In this study, three Convolutional Neural Network (CNN) algorithms are compared to develop the system. The evaluation metrics include accuracy, precision, recall, F1 score, and hamming loss on validation images. The performance comparison reveals that the custom architecture CNN, MobileNetv2, and YOLO models achieve F1 scores of 0.43, 0.63, and 0.24, respectively. To enhance object detection and classification, the paper suggests implementing bounding box buttons categorization using YOLOv8, which demonstrates superior performance with a 95% classification accuracy on testing images of home appliance buttons. They face similar difficult while in public and accessing public property. Expanding upon the proposed system’s capabilities, the paper introduces the concept of panic button detection and activation in a bus environment tailored for blind individuals. This system relies on various factors such as the number of people onboard, heart rate monitoring, and the detection of distress signals or SOS sounds emitted by the user. By integrating advanced sensing technologies and intelligent algorithms, this panic button detection system aims to provide prompt assistance and ensure the safety of visually impaired passengers in public transportation settings.

WOMEN SAFETY APP

The Women Safety App operates on a multifaceted approach, incorporating real-time assistance, precise location tracking, and immediate access to emergency services. By capitalizing on the ubiquity of smartphones, this project strives to provide a swift and effective response to potential threats that women may encounter in various situations. The core features of the app include a panic button for instant distress signals, live location sharing to facilitate timely assistance, and a streamlined communication channel with emergency services. These elements collectively contribute to fostering a safer environment for women, instilling a sense of confidence and security as they navigate their daily lives. The Women Safety App project addresses the critical issue of women's safety by leveraging technology to provide a reliable and accessible solution. In today's society, incidents of gender-based violence, harassment, and discrimination underscore the urgent need for effective measures to protect women's well-being and security. Existing safety mechanisms often fall short, relying on manual interventions and traditional communication channels that may not provide immediate assistance during emergencies. The Women Safety App aims to bridge this gap by offering real-time assistance, location tracking, and emergency services through a mobile application. Its key advantage lies in delivering instant distress signals, enabling quick alerts to trusted contacts and emergency responders in threatening situations. Additionally, live location tracking allows users to share their whereabouts for added safety.

BLINDS EYE: Advancing Navigation for the Visually Impaired with Arduino Uno

Blinds Eye Advancing Navigation for the Visually Impaired with Arduino Uno. Navigating their surroundings independently, visually impaired individuals encounter challenges with traditional aids. This advanced blind navigation system, integrating an Arduino Uno for processing, a GPS module for real-time tracking, and a panic button for emergencies, presents a groundbreaking solution. Ultrasonic and IR sensors detect obstacles, issuing audio alerts and adjusting routes. An RF module aids in locating a misplaced smart stick. Overcoming limitations of existing solutions, the system's audio output provides crucial information, ensuring safer and more efficient independent travel for the visually impaired." Key Words: Arduino Uno, Blind navigation, Visually impaired, GPS module, Ultrasonic sensors, Infrared sensors, RF module, Assistive technology

Sonic Weapon for Women Safety

This paper introduces an IoT-integrated teaser gun designed specifically for enhancing women's safety. The device, incorporating an ESP32 module, integrates GPS tracking and IoT functionalities to provide real-time location monitoring and emergency response capabilities. Upon activation via a panic button, precise GPS coordinates are transmitted to a centralized database accessible through web and mobile applications, enabling rapid assistance in critical situations. Furthermore, the device employs preset location monitoring to identify and alert users and designated receivers of potential safety threats in high-risk areas. Audible alert mechanisms are integrated to promptly notify users of impending dangers, empowering women to prioritize their safety effectively. This innovative solution addresses the urgent need for proactive measures to combat gender-based violence, offering a comprehensive approach to ensuring women's safety in vulnerable situations.

Controller Based Smart Blind Stick for People with Vision Loss

One of the biggest problems faced by the visually impaired is navigating from place to place, be it indoors or outdoors. The main aim of this work is to help the visually impaired person to remotely locate his/her stick using a RF remote. This system incorporates with buzzer and attached with multiple sensors to provide high security to the visually impaired people while walking. Now a days safety is main important cause to the peoples while walking or driving and many more places. The system provides the high security and show way to walk, this system can monitor the blind person position using mobile, an emergency alert message will be sent along with the exact location. The system has obstacle sensor, soil sensor and stair detection sensors, so that it can detect obstacles/ steps automatically and gives alert. By using soil moisture detector used to detect the moisture in the soil and gives alert accordingly. This system can be very useful to peoples to show correct path while walking on the floor or steps and many more places. The system can be interconnected with the microcontroller and alert the respective persons when any emergency occurs. This tracking system is composed of a GPS receiver, Microcontroller and a GSM Modem. The Microcontroller processes this information and this processed information is sent to the respective numbers. Keywords—ultrasonic sensor, raspberry pi, panic button, GPS & GSM

Women Panic Stun Jacket for Self Defense Using ESP32

Women Panic Stun Jacket is a self-defense product designed to provide safety and protection for women. The Women Panic Stun Jacket is specifically designed for women who want an extra level of personal safety while out and about. It is equipped with several advanced features to provide a sense of security and deter potential attackers. One of the key features of this jacket is the built-in stun technology. This stun feature is easy to activate with a discreet button located on the sleeve or collar of the jacket. Additionally, the Women Panic Stun Jacket is equipped with a panic button linked to a personal safety app. When pressed, this button sends an immediate distress signal to pre-selected emergency contacts, providing them with the wearer's precise location. This feature is beneficial in situations where immediate help is required. Comfort and style are also priorities in the design of this jacket. A panic stun jacket for self-defense for women could be designed to integrate discreetly into everyday clothing, activating with a quick gesture or button press in times of distress. The jacket could deliver a non-lethal electric shock to deter attackers, while also alerting authorities or sending distress signals to pre-set contacts. Its design would prioritize comfort, mobility, and effectiveness, empowering women with a proactive safety solution in potentially dangerous situations.

Design and Implementation of Smart Blind Stick for Obstacle Detection and Navigation System

The design, advancement, and evaluation of an IoT -enabled smart stick that can detect and alert users to obstacles is presented in this study to help visually impaired persons traverse the outside world. A water sensor deployed to identify puddles and other wet surfaces in the user's route, and ultrasonic sensors for detecting obstacles are all used in the suggested design. Additionally, after correctly detecting and recognising items, the user receives voice feedback through earphones regarding various obstacles and objects. The suggested smart stick has two modes: the first detects and recognises obstacles and provides speech feedback; the second mode employs ultrasonic sensors for detecting and response through vibration motors to inform about the direction of the obstacle. The suggested method enables users to alternate between the two modes based on their preferences and the surroundings. Additionally, the user's latitude and longitude values are recorded and uploaded to the IoT platform for efficient tracking through global system for wireless communication modules, allowing the user or device to be tracked in real time on the dashboard. An IoT-enabled environment generates an alert signal in the form of an SMS with Google Maps link generated using latitude and longitude coordinates, and this serves as a panic button for emergency assistance. The smart stick's design includes features such a long battery life, size adjustment, waterproofing, and light weight. Robust features, portability, stability, ease of access, and energy efficiency are all guaranteed by the entire design.

A Wearable Device for Assistance of Alzheimer’s disease with Computer Aided Diagnosis

INTRODUCTION: Alzheimer’s disease (AD), which is also a pervasive form of dementia primarily common among the elderly, causes progressive brain damage, which might lead to memory loss, language impairment, with cognitive decline. This research proposed a solution that leveraged wearable technology's potential for computer-aided diagnosis. This wearable device, which looks like a pendant, integrates a panic button to notify the closed ones during an emergency.
 OBJECTIVES: The primary objective is to effectively scrutinise and implement the wearable device for computer-aided diagnosis in AD. Specifically, this device aims to provide timely alerts to family members during emergencies and other symptoms.
 METHODS: The proposed system is developed with the help of a microcontroller and integrates the Android Studio. This device, which resembles a pendant, contains a panic button that connects to a mobile application which receives notifications.
 RESULTS: The system successfully achieved its objectives by providing timely alerts with accurate cognitive support for AD patients. The wearable device developed along with the mobile application, with the help of a microcontroller and Android Studio, contributed to the overall well-being of patients with AD.
 CONCLUSION: This research introduced a very innovative and promising solution for improving the lives of individuals with AD through this wearable device and mobile application. By addressing these challenges, the system demonstrated its true potential for enhancing the quality of life for individuals with dementia.

Empowered or impoverished: the impact of panic buttons on domestic violence

AbstractThis paper estimates the causal effect of a targeted panic button program—implemented in two Turkish provinces between 2012 and 2016—on domestic violence. Difference-in-differences and synthetic control estimates suggest that the program notably increased physical violence against women both at the extensive and intensive margins. The likelihood of physical violence in the treated provinces increased by more than 5 percentage points relative to the control provinces, and the number of physical violence incidents increased by about 10 percent. The increase comes almost entirely from the increase in violence against less-educated women. Employment rates and economic independence indicators improved for women in the treated provinces, which suggests that the program empowered vulnerable women. However, male partners increased physical violence in response to female empowerment. The results are consistent with the male backlash theories and a class of non-cooperative models incorporating violence as a vehicle for enhancing males’ bargaining power, but inconsistent with the models predicting that economic empowerment of women reduces violence by balancing bargaining power within the household. We also develop a method based on retrospective violence information to understand whether the increase is attributable to actual or self-reported violence and conclude that the estimates are entirely driven by the increase in actual violence.

Inovasi Pelayanan Publik Diskominfo Kota Samarinda di Era Disrupsi: Studi Implementasi Layanan Samarinda Siaga 112 dan Panic Button

In the current era of disruption, the implementation of the Samarinda Siaga 112 Service and the panic button developed by the Samarinda City Communication and Information Service are available as a forum for optimizing public services in terms of handling electronic-based emergencies. Through a qualitative descriptive approach, this research examines the implementation of the Samarinda Siaga 112 and panic button services which refer to Samarinda Mayor Regulation Number 52 of 2019 concerning the Implementation of a Single Emergency Call Number 112 and Panic Button, by focusing on aspects of communication, resources, disposition, bureaucratic structure and the obstacles. This research found that the Samarinda Siaga 112 and panic button services have been implemented well even though there was a decrease in the number of complaint channels after Covid-19 ended because the Samarinda Siaga 112 and panic button services were much more needed during the past Covid-19 pandemic. The operational functioning of this service is reduced andi s still hampered by other obstacles related to technical matters and the characterictics of the population of Samarinda City with the finding that 75,54 percent of incoming callas to Emergency Call 112 are fake calls. However, this service can still be implemented effectively by optimizing existing resources, and contuining to be committed to improving information technology-based public services for the communication in handling various emergency incidents. The role of emergency volunteers is also very significant in implementing this service and better empowerment efforts need to be carried out by the Samarinda City Government. More massive educational efforts are also needed for the people of Samarinda City regarding the urgency of caring and being alert to emergency condotions as well as using media in public service communication wisely and beneficially for others.

With the panic button, driver and passenger safety increases!

With the panic button, driver and passenger safety increases!

First insights exploring Activities of Daily Living performance captured through activity sensors in a Smart Home Environment as an indicator of cognitive decline: A cross‐sectional Analysis

AbstractBackgroundSmart homes offer a unique potential not only for supporting various users’ needs but also for monitoring their activities. Herein the findings of the RADAR‐AD Smart Home study are presented. Using data from activity sensors installed in a smart home environment simulating real‐life conditions, we aim to detect deficits while performing Activities of Daily Living (ADLs) in three known groups of people in different stages of cognitive decline related to Alzheimer’s Disease (AD).MethodIn a fully equipped Smart Home (https://smarthome.iti.gr/), Fibaro smart plugs (to monitor power consumption), motion‐, door‐, flood‐sensors and panic buttons were installed. During their 24 hour visit, participants [13 Healthy Control (HC), 14 Preclinical AD (PreAD), 13 Prodromal AD (ProAD)] (Table 1) followed a protocol listing a number of ADLs (e.g., meal/beverage preparation) (Table 1). Data collection, feature extraction (i.e., activity duration, number of repetitions) and visualization of ADLs were performed through the CARL data collection and analysis platform for assisted living (https://carl.iti.gr/). (Figure 1). Two‐Way ANOVA and Mann‐Whitney were used to test the statistical significance between the groups.ResultComparing Activity Duration for different ADLs and groups (Figure 2), HC executed the ADLs in less time compared to PreAD and ProAD, while PreAD showed no difference in the majority of the tasks compared to ProAD. Three activities were completed by 50% of the HC, 36% of the PreAD and only 17% of the ProAD. Two‐way ANOVA revealed a statistically significant interaction between the effects of cognitive decline and Activity Duration F(3,106) = 3.504, p = 0.034. Mann‐Whitney analysis for the complex task “Meal Preparation” showed decreased duration for HC compared to PreAD (U = 33.00, p = 0.042) and ProAD (U = 17.00, p = 0.052).ConclusionThe RADAR‐AD Smart Home study provides a proof‐of‐concept for the use of home‐based sensors for investigating ADLs in patients with cognitive decline. This work has received support from the EU/EFPIA Innovative Medicines Initiative Joint Undertaking (grant No 806999). www.imi.europa.eu. This communication reflects the views of the RADAR‐AD consortium and neither IMI nor the European Union and EFPIA are liable for any use that may be made of the information contained herein.

Pengembangan Sistem Smart Village Berbasis Internet of Things untuk Meningkatkan Kualitas Hidup di Desa

Internet users in Indonesia reached 55% or more than half of Indonesia's population, while the tools used to access the internet are dominated by smartphones, as much as 60%. These make the internet and smartphones one of the technologies that can be used further. Internet of Things is one of the technological developments in the internet field that can be used in building smart villages. A smart village is an innovative village that seeks to improve its citizens' quality of life, efficiency, and competitiveness by utilizing information and communication technology (ICT). Simdesapp is an intelligent village application that was built to display information obtained from the previously built smartpole hardware—using the Extreme Programming method as a system development method through several stages such as planning, design, coding and testing. The features contained in the software are monitoring temperature, humidity, air quality, panic buttons for emergencies, and early warnings for disasters such as land fires and earthquakes. In contrast, other features in the software are the history of each resident's illness, schedule Posyandu, patrol schedules, profiles of each resident, and village website containing profiles and village potentials.

ELECTRONICS WOMEN’S SAFETY JACKET

The "Electronics Women's Safety Jacket" is a cutting-edge microcontroller-based project designed to enhance the safety of women in various environments. This innovative jacket integrates advanced electronics to create a proactive safety solution. At its core, the project employs a microcontroller as the central processing unit, serving as the brain of the safety jacket. This microcontroller is equipped with sensors that detect crucial environmental factors, such as ambient light levels, sound levels, and GPS location. These sensors enable the jacket to adapt its functionality based on the wearer's surroundings. One of the key features of the safety jacket is its ability to trigger an alarm in emergency situations. For instance, if the ambient light drops suddenly, signaling potential danger, or if the sound levels indicate distress, the microcontroller activates a loud alarm to attract attention. Additionally, the built-in GPS system allows the jacket to transmit the wearer's location to predefined contacts or emergency services, ensuring swift assistance in critical scenarios. To further empower women's safety, the jacket incorporates a panic button or gesture recognition technology. In times of distress, the wearer can easily activate the alarm system by pressing the panic button or performing a specific gesture, initiating a rapid response mechanism. The project also focuses on user-friendly design, considering the comfort and convenience of the wearer. The electronic components are seamlessly integrated into the fabric of the jacket, maintaining a stylish and inconspicuous appearance. Rechargeable batteries power the system, ensuring long-lasting functionality without compromising mobility. In conclusion, the Electronics Women's Safety Jacket is an intelligent and responsive solution leveraging microcontroller technology to address women's safety concerns. By combining sensor data, GPS capabilities, and user-friendly features, this project aims to provide a reliable and effective tool for enhancing the security and well-being of women in various situations. Key Words: Microcontroller, GPS, GSM, Sensors.

Addressing discrimination and violence against Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ) persons from Brazil: a mobile health intervention

BackgroundSexual and gender minorities (SGM) experience higher rates of discrimination and violence when compared to cis, heterosexual peers. However, violent crimes and other hate incidents against SGM persons are consistently not reported and prosecuted because of chronic distrust between the SGM community and police. Brazil is one of the most dangerous countries for SGM persons globally. Herein, we describe the development of a mobile health intervention to address the rampant violence against this population, the Rainbow Resistance—Dandarah app.MethodsWe conducted community-based participatory research (CBPR) between 2019 and 2020. The study started with in-depth interviews (IDIs) and focus group discussions (FGDs) with representatives of the SGM community from Brazil. Descriptive qualitative data analysis included the plotting of a ‘word cloud’, to visually represent word frequency, data coding and analysis of more frequent themes related to app acceptability, usability, and feasibility. A sub-sample of SGM tested the app and suggested improvements, and the final version was launched in December 2019.ResultsSince the app was launched in December 2019, the app recorded 4,114 active SGM users. Most participants are cisgender men (50.9%), self-identified as gay (43.5%), White (47.3%), and aged 29 or less (60.9%). FGDs and IDIs participants discussed the importance of the app in the context of widespread violence toward SGM persons. Study participants perceived this mHealth strategy as an important, effective, and accessible for SGM surviving violence. The CBPR design was highlighted as a key strategy that allowed SGM persons to collaborate in the design of this intervention actively. Some users reported how the panic button saved their lives during violent attacks.ConclusionsRainbow Resistance—Dandarah app was endorsed as a powerful tool for enhancing reporting episodes of violence/discrimination against SGM persons and a key strategy to connect users with a safe network of supportive services. Results indicate that the app is an engaging, acceptable, and potentially effective mHealth intervention. Participants reported many advantages of using it, such as being able to report harassment and violence, connect with a safe network and receive immediate support.

Smart Helmet for Miners

Abstract: Smart helmet for miners offers a device for the coal mine workers which is easy to use and reliable. This device includes a basic monitoring system, which monitors the environment of the mine and help us know if it is suitable for miner to works in or not. The monitoring system installed on the m=helmet help us to collect the live data from the mine using radio transmission and this data is then transferred to the admin side for analysis and to monitor it briefly. The helmet id also installed with a GPS tracker, which would help us to locate the miner during the time of any accident or calamities. The accuracy of information is of the utmost, which helps us to safeguard the miner’s life. This device also includes a panic button, which can be used by the miner to alert the workers outside in case of any emergency.

The Design Discussion of a Self-Powered Automatic Identification System Sensor

In recent years, many vessels have utilized Automatic Identification Systems (AIS) to process marine positioning and navigation; the system employs GPS to position and transmits signals through ultra-high frequency wireless communication, which can deliver the signals to a broader range. However, due to the high power-consumption character of AIS, it is necessary to consider an appropriate power supply to support the system. In other words, AIS is suitable for various application fields, but the power supply issue remains unresolved in different Internet of Things (IoT) equipment, such as marine movement or land activity positioning. This article proposes a sensor designed with a self-powered AIS, and the primary functions are: 1. Available for customizing the signal sending time intervals based on the site needs; 2. A panic button is designed in the system for activating AIS signal transmission; 3. The equipment stores electricity in solar panels to improve the power consumption issue of AIS; 4. The g-sensor installed in the equipment detects and judges AIS motion and wobble to position the vessel. The AIS equipment presented in this research mainly applies to positioning marine and mountain activities or ocean farming. Due to the lack of power supply in the applications mentioned above, if AIS cannot deliver signals for a long time, the equipment will influence the power issue of other detectors in the entire design. Therefore, this study discusses a design combined with a self-powered AIS detector, allowing the AIS equipment to operate for a year and be suitable for various applications. This design can resolve the lack of mobile communication issues on the sea or in the mountain.

Improvement of Lampung Police Services Through Siger Precision Lampung 21 (PSP-21)

Police services using information technology are developing rapidly. The development of this service is an instruction from the National Police Chief as the head of the police force. However, the police service does not yet have an integration feature that is able to provide the public with access to one application, so all services will be easily accessible. This research builds an integration service named Siger Presisi Police (PSP) 21. This service can be accessed using the website and mobile. In PSP 21 there are panic button service features, the latest information and other application services such as online samsat, online sim, e-yanduan, e-dumasan and skck. The results of this study indicate that the level of community satisfaction has increased as evidenced by the number of accesses made to the PSP21 application.

Smart Remote Transit Vehicle Monitoring with Emission Alert and Secured Access Using IOT

Abstract: The research paper focuses on addressing automobile theft by proposing a framework utilizing the Internet of Things (IoT), GPS, and GSM technologies. This system allows vehicle owners to track and monitor their vehicles at any time from anywhere, improving security against professional thieves. The IoT sends information about the vehicle's status to the guardian or owner, while GPS provides the vehicle's current location. In case of theft, the fuel supply can be gradually cut off by sending a message, disabling the vehicle, and updating data to the Google Firebase server. An RFID card is provided to start the vehicle, and an Android app is developed using the MIT AppInventor tool for monitoring maps and notifications. Additionally, emission levels are measured and updated to the cloud, and a panic button is included for driver assistance in emergencies. This proposed system enhances existing anti-theft measures while offering innovative features for better vehicle security and management.

Arduino Uno Based Child Tracking System Using GPS and GSM

Wearable tracking gadget that school-age children can wear is the topic of this paper. It doesn't need any pricy technology to operate.. This technology is usable by persons of all educational levels. It has got two buttons one is alert button and another is panic button The major objective of this gadget is to ensure that the youngster may contact their parents in an emergency. The alert button allows the child to notify their parents of an emergency and provide their current location. For communication, the current technology includes Bluetooth, WI-FI, and RFID. It is hard to communicate across a great distance with these technologies because they only have a narrow range of coverage. Also they are not that accurate. This device solves the issue by utilizing GSM technology. Parents do not need to submit any special code to the device to determine the child's location's latitude and longitude. If a child is in any emergency situation and wants his/her parents to know their current exact location. If a child feels uneasy, there are two methods to let the parents know. The cell phone of the parents or guardian receives the alarm message via SMS by pressing alert button and if the child wants to communicate to parents immediately, a call can also be made via this device using the panic button and the child can talk to the parent in real time.