Emergency Response Capability Research Articles

Enhancing Emergency Response: The Role of Collective Competence in Epidemiological Teams for Effective Laboratory Data Collection and Analysis

Background: Health systems globally face ncreasing challenges from health crises and epidemic threats, necessitating the pivotal role of epidemiological teams in emergency response. This study investigates the significance of collective competence within these teams, focusing on their ability to collect, analyze, and manage laboratory data effectively. Methods: A cross-sectional descriptive study design was used to survey epidemiological teams in Saudi Arabia. A structured questionnaire was developed based on existing literature and distributed electronically to participants. Data analysis was performed using the Statistical Package for the Social Sciences (SPSS), using descriptive and inferential statistics to summarize participant characteristics and explore associations between variables. Results: A total of 208 epidemiological teams member completed the questionnaire, yielding insights into their The Role of Collective Competence in Epidemiological Teams. The findings reveal high levels of agreement regarding the effectiveness of management approaches, knowledge sharing, and team collaboration, with the average score exceeding 4.0 on a 5-point scale. Notably, team efficacy was found to significantly enhance the efficiency of laboratory data collection and analysis, accounting for approximately 25.9% of the variance in efficacy. Discussion: These findings underscore the need to invest in developing team competencies within epidemiological teams to improve emergency response capabilities. The study provides practical insights into enhancing team collaboration and coordination, ultimately contributing to more effective public health interventions in future health crises.

A Harmony-Based Approach for the Evaluation and Regulation of Water Security in the Yellow River Water-Receiving Area of Henan Province

Water security, as a crucial component of national security, plays a significant role in maintaining regional stability and ensuring the healthy and rapid development of the economy and society. The Yellow River water-receiving area of Henan Province (YRWAR-HN) is selected as the research area in this study. Firstly, a comprehensive evaluation index system is constructed based on the actual water security problems of the research area, and the single index quantification–multiple indices syntheses–poly-criteria integration method (SMI-P) is introduced to quantify the water security degree of 14 cities in the YRWAR-HN from 2010 to 2021. Then, the obstacle degree model is used to identify the key obstacle indexes that restrict the improvement of water security. Finally, the harmonious behavior set optimization method is adopted to carry out the regulation of water security, and the improvement path of water security in the YRWAR-HN is formulated. The results indicate the following: (1) the water security degree of the YRWAR-HN shows a fluctuating upward trend, increasing from 0.4348 (2010) to 0.6766 (2021), a significant rise of 55.61%. The water security level improves from the relatively unsafe level to the relatively safe level. Hebi City exhibits the fastest rate of water security improvement, while Xinxiang City shows the slowest rate. (2) The density of the river network (X1) and the proportion of investment in water conservancy and environmental protection in the total investment (X15) are the two indexes with the highest obstacle degree, with the average obstacle degrees being 15.09% and 10.79%, respectively. (3) The combination of the composite regulation scenario and improvement Path 2 is the optimal regulation strategy for water security in the YRWAR-HN. From the implementation process, Luoyang, Sanmenxia, Jiyuan, Xuchang, and Shangqiu may prioritize improving their flood and drought disaster defense capabilities and emergency response capabilities, continuously enhancing the flood prevention and disaster reduction system. Zhengzhou, Kaifeng, Xinxiang, Jiaozuo, Anyang, Hebi, Pingdingshan, and Zhoukou may prioritize resolving the regional water supply and demand conflicts, balancing development and conservation, actively seeking transboundary and external water transfers, and strengthening the capacity for water conservation and intensive utilization. Puyang City may prioritize enhancing its comprehensive water environment management capabilities, increasing investment in water conservancy and the environment, improving production processes, reducing pollutant emissions, and mitigating agricultural non-point source pollution.

A competency model for basic public health professionals in public health emergencies.

To develop and validate a comprehensive competency model for basic public health professionals to enhance their response to public health emergencies. Staff working in basic public health institutions such as the Centre for Disease Control, community health services and township health centres were selected as the study population. Through an integrative literature review, structured questionnaire survey (n = 1310), exploratory factor analysis and confirmatory factor analysis, we developed and validated a competency model. Exploratory factor analysis was utilized to extract common factors, and confirmatory factor analysis was employed to establish the model and ensure its robustness. Identified competencies by exploratory factor analysis encompass professional and technical skills, medical professionalism, specialized medical knowledge, cognitive and managerial aptitude, public health service competence, emergency response proficiency and physical and mental quality. The model displayed high validity, with a Kaiser-Meyer-Olkin score of 0.933, the χ2 value of Bartlett's test of sphericity was 4169.238 at 889 degrees of freedom (df) (p < 0.001) and the cumulative contribution rate was 60.7%. The confirmatory analysis yielded a final model fit (χ2/df = 2.461) with satisfactory adjusted fit indicators. This validated competency model provides a robust framework for selecting, training and evaluating basic public health professionals, potentially enhancing overall emergency response capabilities.

Optimizing Maintenance Resource Scheduling and Site Selection for Urban Metro Systems: A Multi-Objective Approach to Enhance System Resilience

This study developed an optimization model for the strategic location of maintenance resource supply sites and the scheduling of multiple resources following failures in urban metro systems, with the objective of enhancing system resilience. The model employs a multi-objective optimization framework, focusing primarily on minimizing resource scheduling time and reducing costs. It incorporates critical factors such as spatial location, network topology, station size, and passenger flow. A hybrid method, combining the non-dominated sorting genetic algorithm III and the technique for order of preference by similarity to ideal solution, is used to solve the model, with its effectiveness confirmed through a case study of the Nanjing Metro system. The simulation results yielded an optimal number of 21 maintenance resource supply stations and provided their placement. In the event of large-scale failures, the optimal resource scheduling strategy ensures demand satisfaction rates exceed 90% at critical stations, maintaining an overall rate of 87.09%, therefore significantly improving resource scheduling efficiency and the system’s emergency response capabilities and enhancing the physical resilience and recovery capabilities of the urban metro system. Moreover, the model accounts for economic factors, striving to balance emergency response capabilities with production continuity and cost efficiency through effective maintenance strategies and resource utilization. This approach provides a systematic framework for urban metro systems to manage sudden failures, ensuring rapid recovery to normal operations and minimizing operational disruptions in scenarios of limited resources.

Seismic Risk Assessment and Analysis of Influencing Factors in the Sichuan–Yunnan Region

Investigating the distribution characteristics of earthquake disaster risks in the Sichuan–Yunnan region is of great importance for enhancing government emergency response capabilities and achieving sustainable regional development. This study, based on disaster systems theory, constructs a seismic risk evaluation index system for the Sichuan–Yunnan region and employs the entropy method to determine the comprehensive risk index for earthquake disasters across 37 prefecture-level cities. The findings reveal the following: (1) High-risk areas for disaster-causing factors are located in the Hengduan Mountain region and the North–South Mountain Range Valley Region; medium-risk areas are distributed along the northwestern edge of the Sichuan Basin; low-risk areas are situated in the eastern part of the Sichuan Basin and the Yunnan Plateau. (2) High-risk disaster-prone environments are found in the Hengduan Mountain region; medium-risk areas are present on the Yunnan Plateau and the western part of the North–South Mountain Range Valley Region; low-risk areas are in the Sichuan Basin. (3) High-vulnerability areas include the central Sichuan Basin and Kunming on the Yunnan Plateau; medium-vulnerability areas are located in the eastern and western parts of the Sichuan Basin; low-vulnerability areas are in the less developed parts of the Yunnan Plateau, the North–South Mountain Range Valley Region, and the Hengduan Mountain region. (4) High-risk seismic disaster areas are concentrated in the developed regions of the Sichuan Basin and the Yunnan Plateau; medium-risk areas are concentrated in the western part of the North–South Mountain Range Valley Region; low-risk areas are sporadically distributed in the eastern parts of the Sichuan–Yunnan region. (5) The vulnerability of the population, economy, and lifeline systems significantly explain the variation in seismic risk levels, all exceeding 0.70; the synergistic effects of disaster-causing factor danger, disaster-prone environment stability, and disaster-prone environment sensitivity are the most pronounced, with explanatory power exceeding 0.85 after factor interaction.

Quantitative assessment of human error of emergency behavior for hazardous chemical spills in chemical parks

In-depth research on human error is of great significance to improve the human reliability in the emergency rescue as well as to avoid the occurrence of secondary accidents. Therefore, the standardized process and key emergency behaviors in the emergency rescue process of hazardous chemical leakage accidents are first analyzed. Based on the Cognitive Reliability and Error Analysis Method, the human error mode was sorted out, and the human error probability estimation model was established. Combining the improved Analytic Hierarchy Process and entropy weight method, a model for estimating the severity of human error was established, realizing the quantitative analysis of the human reliability of the emergency behavior. The study showed that the 21 emergency behaviors were clustered into 3 categories, with clustering 1 including 2 emergency behaviors, which have the highest level of severity, clustering 2 including 11 emergency behaviors, and clustering 3 including 8 emergency behaviors. Finally, countermeasures were proposed in four areas, including increasing the level of Common Performance Conditions and the ability to transmit information on accidents, etc. It indicates that the method can widely guide the improvement of emergency response capability in chemical parks.

A Novel Approach for the Analysis of Ship Pollution Accidents Using Knowledge Graph

Ship pollution accidents can cause serious harm to marine ecosystems and economic development. This study proposes a ship pollution accident analysis method based on a knowledge graph to solve the problem that complex accident information is challenging to present clearly. Based on the information of 411 ship pollution accidents along the coast of China, the Word2vec’s word vector models, BERT–BiLSTM–CRF model and BiLSTM–CRF model, were applied to extract entities and relations, and the Neo4j graph database was used for knowledge graph data storage and visualization. Furthermore, the case information retrieval and cause correlation of ship pollution accidents were analyzed by a knowledge graph. This method established 3928 valid entities and 5793 valid relationships, and the extraction accuracy of the entities and relationships was 79.45% and 82.47%, respectively. In addition, through visualization and Cypher language queries, we can clearly understand the logical relationship between accidents and causes and quickly retrieve relevant information. Using the centrality algorithm, we can analyze the degree of influence between accident causes and put forward targeted measures based on the relevant causes, which will help improve accident prevention and emergency response capabilities and strengthen marine environmental protection.

Risk assessment of emergency operations of floating storage and regasification unit

As the receiving terminal of liquefied natural gas (LNG), the efficient emergency response of the floating storage and regasification unit (FSRU) is crucial to ensure the safety of LNG transportation at sea. However, few existing literature study the risk issues of FSRUs during emergency operations. In order to improve the emergency response capability of FSRU, this study proposes an innovative assessment method to identify hazards, quantify and rank the risks associated with emergency response and disposal operations of FSRU accidents. Firstly, a comprehensive index hierarchy system applicable to human, equipment, environment, and management aspects of emergency response and disposal operations of FSRU accident is established through an extensive literature review, analysis of accident reports, and expert judgments. Secondly, based on the concept of Intuitionistic Fuzzy Numbers, the Intuitionistic Fuzzy Hybrid Weighted Euclidean Distance (IFHWED) operator is used to enhance the conventional FMEA approach. This method considers the varying levels of expert confidence and integrates subjective and objective weights of risk influential factors (RIFs), and the efficacy is validated through sensitivity analysis. Finally, a comprehensive evaluation model employing the Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation algorithms is used to aggregate the risk values of RIFs. The findings of this study offer decision-makers insights into risks during emergency operation, provide valuable guiding strategies for FSRU accident management, and improve the capability for emergencies at sea.

Structural Design Study of Air-Dropped Unmanned Maritime Mobile Search and Rescue Platforms

In order to improve the efficiency and safety of search and rescue (SAR) at sea, this paper proposes a kind of emergency rapid rescue unmanned craft (air-dropped unmanned maritime motorized search and rescue platform) that can be delivered by a large transport aircraft. This paper studies the structural design scheme of the platform, and the main scale of the platform, the choice of power system and the impact resistance performance are considered in the design process to ensure its rapid response and effective rescue capability under complex sea conditions. Simulation results show that the platform can withstand the impact of air injection into the water and the shipboard equipment can operate normally under the impact load, thus verifying the feasibility and safety of the design. This study serves to improve the maritime search and rescue system and enhance the oceanic emergency response capability.

Research on the relationship between nurses’ emergency public health response capacity and workplace resilience: A cross-sectional study

ObjectiveThis study aimed to investigate the factors influencing nurses’ ability to respond to public health emergencies and understand the relationship between nurses’ ability to respond to emergencies and workplace resilience. MethodsA cross-sectional study of 361 nurses from military hospitals was conducted from January 18 to September 6, 2022, using an online survey. The Infectious Diseases Emergency Response Capacity (IDERC) questionnaire and the Workplace Resilience Scale (WRS) were utilized, and sociodemographic information was also collected. Data were analyzed using descriptive statistics and frequency analysis. Differences between groups were identified by one-way analysis of variance, and linear regression was used to analyze the main factors influencing the infectious emergency response capacity. ResultsThe average infectious emergency response capacity score on the IDERC questionnaire and workplace resilience, measured by WRS, were 4.01 (SD = 0.76) and 3.85 (SD = 0.71), respectively, on a scale of 1–5, indicating high performance. Factors such as degree of education, nurses’ service years and experience in epidemic prevention participation were found to be the main influencing factors of the score of IDERC. The level of workplace resilience showed a positive correlation with the capacity to respond to infectious disease, the score of WRS and the service year accounted for 63.6% of the variance in emergency response capabilities. ConclusionThe results indicate an urgent need to strengthen the training of nurses with lower degree of education, shorter service years, no prior work, or no experience of epidemic prevention participation, and hospitals should also prioritize improving nurses’ workplace resilience through targeted interventions, enhancing their abilities in infectious disease prevention, preparation, first aid, and subsequent critical patient care.

Care Guardian Application for Elder People

The application, named Care Guardian, focuses on enhancing the quality of life for elderly users by incorporating essential features such as a medication reminder system, emergency response capabilities, and streamlined healthcare coordination. Through personalized reminders and seamless emergency alerts, the platform aims to facilitate proactive health management. This application also locate nearby hospitals, document storage and location tracking. Care Guardian provides efficient healthcare navigation tailored to the unique needs of elderly individuals and their caregivers. This research adopts a comprehensive technology stack, blending Android Java for frontend development and Python Django for backend operations, all managed through the Visual Studio IDE. The development methodology integrates Agile practices, ensuring continuous integration and deployment to enhance efficiency, scalability, and maintainability of the application. Emphasizing user-centric design principles, the research targets empowering elderly individuals to independently manage their health needs, offering caregivers a platform specifically designed to fulfill to their requirements. Initial performance assessments of the system demonstrate its effectiveness and reliability in meeting the diverse needs of caregivers and elderly users alike, fostering peace of mind and promoting self-reliance within this demographic. The research’s user-centric approach and advanced technological features position Care Guardian as a high-quality application poised to deliver a superior user experience, ultimately enhancing the overall quality of life for its target users.

Culturally-informed for designing motorcycle fire rescue: Empirical study in developing country

Fire must be responded to quickly and effectively. Difficulties in reaching the fire location may arise due to high traffic. Motorcycle fire rescue can be an alternative to first aid in challenging areas. However, these areas, characterized by diverse cultural backgrounds, require careful consideration. Culture significantly impacts how such rescue systems are perceived, accepted, and utilized. This study delves into the efficiency and implementation of motorcycle fire rescue systems across different contexts, focusing on their alignment with regional cultural norms. Objectives include assessing operational challenges, identifying cultural implications, proposing culturally sensitive design recommendations, evaluating acceptance and effectiveness, and suggesting strategies and policy enhancements to strengthen emergency response capabilities. A preliminary trial was conducted to validate the survey instrument, followed by statistical analysis such as structural equation modeling, confirmatory factor analysis, and satisfaction level assessments. Findings highlight how cultural attitudes shape design preferences, the need for adaptable approaches to overcome operational hurdles, and the importance of adhering to culturally relevant design principles for system efficacy. Field tests also suggest potential improvements in emergency response effectiveness. Recognizing cultural considerations is essential in designing motorcycle fire rescue systems to enhance emergency response in developing nations. Furthermore, aligned with sustainable urban development goals, this research provides policymakers with valuable insights and practical approaches for engaging stakeholders. Equipping designers with information to address motorcycle fire incidents using environmentally friendly solutions underscores the importance of crafting emergency response plans sensitive to cultural differences across diverse landscapes.

183 Chemotoxic emergency response capability at a nuclear facility

183 Chemotoxic emergency response capability at a nuclear facility

Analysis of factors affecting in-hospital emergency response capability based on objective assessment

To analyze the factors affecting the quality of cardiopulmonary resuscitation (CPR) performed by medical staff in hospital and to explore the training methods to enhance their in-hospital emergency response capabilities. A cross-sectional study was conducted, involving medical staff of intensive care unit (ICU) and general internal medicine wards in China-Japan Friendship Hospital in December 2021. The American Heart Association (AHA) resuscitation quality improvement (RQI) model was used to evaluate the skills of the subjects in performing external chest compressions and bag-mask ventilation on adult and infant simulators. While ICU subjects were undergoing RQI model objective assessment, two instructors also provided subjective scoring for their operations. The study compared the differences in RQI model objective assessment scores between ICU and general internal medicine ward subjects, between doctors and nurses, in the RQI model objective scoring for adult and infant resuscitation, in the scoring differences of different positions for chest compressions, and the differences between traditional subjective scoring and RQI objective scoring when ICU subjects were assessed for compression and ventilation. A total of 75 medical staffs were enrolled, consisting of 50 from the ICU (including 24 doctors and 26 nurses) and 25 from the general internal medicine wards (including 10 doctors and 15 nurses). The ICU medical staff's scores for adult resuscitation skills were significantly higher than those of the general internal medicine ward medical staff [adult compression score: 82.5 (66.0, 96.5) vs. 65.0 (52.5, 74.5), adult ventilation score: 82.0 (68.8, 98.0) vs. 61.0 (48.0, 82.0), both P < 0.01]. The nursing group's compression scores for both adult and infant were significantly higher than those of the doctor group [adult compression score: 77.0 (68.5, 89.5) vs. 63.0 (40.8, 90.3), infant compression score: 54.4±25.1 vs. 41.5±18.5, both P < 0.05]. The compression and ventilation scores for the infant were significantly lower than those for adult resuscitation [compression score: 48 (29, 65) vs. 76 (58, 90), ventilation score: 56 (42, 75) vs. 76 (60, 96), both P < 0.01]. When the rescuer was positioned on the right side of the model, the compression score for the adult significantly increased [79.0 (65.0, 92.0) vs. 65.0 (51.3, 77.0), P < 0.05]. The ICU medical staff's traditional subjective scores of compression and ventilation assessments for adult were significantly higher than the RQI model objective scores [adult compression score: 88.8 (79.4, 92.5) vs. 82.5 (66.0, 95.5), adult ventilation score: 95.0 (80.0, 98.1) vs. 82.0 (68.8, 98.0), both P < 0.01]. Rich experience in emergency rescue is related to the improvement of CPR skills, and performing chest compressions from the right side of the adult model is more effective. Objective scoring of resuscitation skills based on the RQI model may more accurately reflect the performance of the trainees.

Traffic Monitoring and Signal Controlling using RFID for Emegency Vehicles

Abstract: This paper presents the concept, Traffic Monitroting and signal controlling using RFID technology to prioritize ambulance passage during emergencies. Traffic lights are crucial for managing the flow of vehicles on the road. In particular, when there are emergencies, the traffic situation is getting worse. Emergency vehicles find it challenging to cross busy road during periods of traffic congestion. A medical emergency vehicles like ambulances, or victims of accidents must be transferred to it as soon as possible. They could be late for rescue efforts because of traffic signals. Identification of emergency vehicles, control of traffic lights, and provision of a clear path for their travel are the objectives of our paper. The main element of this system that implements the control system is radio frequency Identification (RFID). Through RFID detection, the system identifies the presence of an ambulance approaching any lane and promptly initiates a sequence wherein traffic lights for the ambulance's intended lane turn green, while simultaneously halting traffic flow in other lanes. By integrating RFID technology into the traffic management infrastructure, the prototype ensures swift and efficient response to emergency situations, minimizing delays in medical assistance. The system's intelligent algorithm enables it to override regular traffic light patterns, granting immediate passage to ambulances without compromising safety or causing disruptions to traffic flow in adjacent lanes. This approach enhances emergency response capabilities, optimizing the delivery of critical healthcare services and potentially saving lives in urgent medical situations. The system's ability to dynamically adapt traffic signals based on real time ambulance detection underscores its potential to revolutionize emergency response protocols, contributing to enhanced public safety and well-being in densely populated urban areas. The RFID tag helps to verify that emergency vehicles The emergency vehicle can clear all junctions without wasting time at the traffic signals this keeps happening until the ambulance arrives at its destination.

Novel Approach for Vehicle Accident Tracking using IoT

Abstract: In recent years, there has been significant interestin integrating Internet of Things (IoT) technology into vehicle safety systems to enhance emergency response capabilities and road safety. This paper introduces a comprehensive Vehicle Accident Tracking System (VATS) that utilizes IoT principles. The proposed system incorporates various sensors and communication devices installed within vehicles to monitor theirstatus and detect potential accidents in real-time. When anaccident is detected, the system automatically triggers an alert mechanism, notifying relevant stakeholders such as emergency services and fleet managers. Key components of the VATSinclude accelerometers, GPS modules, and onboard communication units, which work together to provide precise accident geospatial data and vehicle condition data. The systemutilizes cloud-based platforms for data storage and processing, ensuring seamless integration with existing infrastructure and scalability. By continuously monitoring and analyzing vehicle telemetry data, the VATS facilitates proactive accident prevention measures and post-accident analysis. Additionally, it offers benefits such as reduced emergency response times, improved accident documentation for insurance claims, and enhanced overall road safety. Privacy and security concerns areaddressed through encryption protocols and access control mechanisms to protect sensitive information. Overall, the Vehicle Accident Tracking System presented in this paper represents a significant advancement in leveraging IoT technology to mitigate the impact of accidents on roadways, thereby contributing to a safer and more efficient transportation ecosystem.

A Positive Discourse Analysis of Reports on “Gansu Earthquake” from the Perspective of Appraisal Theory

From the perspective of the appraisal theory, this paper conducts a positive discourse analysis on the news related to the "Gansu Earthquake", aiming to explore the characteristics of attitude resources’ distribution in relevant news and the characteristics of the national and social image constructed by them. The research results indicate that judgment resources appear most frequently among the reports, followed by appreciation resources, and finally, affect resources. These resources collectively construct a positive image of the country and society. It is united and helpful, efficient and responsible, people-oriented, actively responding to crises, and possessing social cohesion and emergency response capabilities. This study helps to enhance Chinese people's sense of identity and belonging to the country.

Advanced Traffic Clearance System for Emergency Vehicles

This paper elaborates development of Traffic Clearance System using camera and mobile Net. In urban areas, navigating through traffic congestion poses a significant challenge for emergency vehicles, often leading to delays that can impact response times and potentially endanger lives. This paper presents an innovative traffic control system leveraging camera technology to prioritize the passage of emergency vehicles. The proposed system utilizes a network of cameras strategically placed at intersections to detect emergency vehicle sirens and flashing lights. Upon detection, the system dynamically adjusts traffic signal timing to create a green corridor, facilitating the swift and safe passage of emergency vehicles. Additionally, the system incorporates machine learning algorithms to optimize traffic flow, minimize congestion, and ensure efficient utilization of road space. Through simulation studies and real-world testing, the effectiveness and reliability of the proposed system are evaluated, demonstrating its potential to enhance emergency response capabilities and improve overall traffic management in urban environments.

NIKKY THE HUMANOID ROBOT FOR HEALTHY AND SAFETY LIVING

As the global population ages, the demand for effective elderly care solutions has become increasingly urgent. With advancements in technology, there arises an opportunity to revolutionize the way we approach elderly care, moving beyond traditional models towards more innovative and integrated approaches. This project introduces an integrated smart home automation system designed to enhance the well-being and independence of seniors while providing invaluable support to caregivers. Leveraging cutting-edge technologies such as AI integration, IoT devices, and voice recognition, the system offers a seamless and intuitive user experience. Features include automated task management, real-time environmental monitoring, medication management, and emergency response capabilities. By streamlining daily routines, promoting social engagement, and ensuring safety, the system aims to improve the overall quality of life for seniors while alleviating stress and burden for caregivers. Additionally, this project explores the potential of humanoid robot technology, exemplified by robot Nikky, to further augment elderly care through human-like interactions and assistance. This integrated approach not only addresses physical needs but also focuses on cognitive stimulation and emotional well-being, fostering a sense of companionship and purpose for seniors. Through these efforts, this project seeks to address the evolving needs of aging populations and contribute to the advancement of technology-driven solutions in elderly care and support services. Key Words: Home automation, Robotics, Smart and healthy living, Humanoid Robot for personal interaction

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.