Application of new Technologies for Primary Recognition in the Emergency Response of the Good Faith Fire Department
Keywords:
Drone, Firefighters, Emergency, Operations, RescueAbstract
Currently, 70% of emergencies are caused by human error. Industries are aiming to reduce these errors through automation and new technologies, such as unmanned aircraft. While progress has been slow in some areas, these technological advancements have shown significant benefits in many industries. Factors such as increased fatigue, mental stress, and lack of sleep affect the performance of rescue firefighters, leading to decreased productivity, safety, and effectiveness. These issues not only result in material losses but also in human casualties during emergency responses. Stress is an inevitable and universal challenge, significantly influencing response times during emergencies, which makes it a critical factor to address in rescue operations. Unmanned aircraft are transforming emergency response systems by improving safety and efficiency. These aircraft enable rescue teams to collect vital information about an emergency without directly confronting the danger, which significantly enhances decision-making and response times. By providing real-time data, unmanned aircraft help rescuers assess situations more accurately and respond more effectively. This allows firefighters and other rescuers to be more informed, resulting in better safety and faster interventions. As drone technology continues to advance, their role in emergency services is expanding. Research shows that unmanned aircraft are crucial, the assessment of emergency situations, enabling faster, more accurate, and more efficient responses. The technology's ability to automate certain aspects of the response process will likely become a key element in the future of emergency management. With continuous improvements, unmanned aircraft will further enhance the capabilities of rescue teams, improving safety and saving lives.

Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.