Smart Muni Platform: Efficient Emergency and Citizen Security Management Based on Geolocation, Technological Integration and Real Time Communication

The global increase in crime across cities has led to the development and implementation of technological solutions, such as the Smart Muni platform, designed to enhance citizen security. This platform integrates geolocation, real-time notifications, and a digital panic button to optimize emergency management and coordination between citizens and authorities. Developed using a structured approach that included requirements analysis, system design, development, testing, validation, deployment, and maintenance, the platform employs advanced technologies such as Firebase, Amazon S3, and Twilio, ensuring scalability, high availability, and seamless communication. Initially implemented in two districts with high crime rates, Smart Muni registered an average of 10 daily alerts, with peaks of up to 50 alerts in a single day. The system has proven effective in managing frequent incidents like alcoholism and domestic violence, significantly reducing response times and improving coordination. Despite its success, Smart Muni faces challenges related to optimizing its resilience against potential system failures and improving its ability to handle increased data loads. In comparison to other international systems, Smart Muni's flexible and scalable architecture stands out, though future enhancements are required to further strengthen the system’s reliability and expand its features. Overall, Smart Muni has proven to be a valuable tool in improving citizen security, fostering stronger relationships between citizens and authorities, and contributing to a safer community.

@article{Castro-Chucan2024,
  title     = {Smart Muni Platform: Efficient Emergency and Citizen Security Management Based on Geolocation, Technological Integration and Real Time Communication},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {10},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Gerson Castro-Chucan and Hiroshi Chalco-Peñafiel and Norka Bedregal-Alpaca and Victor Cornejo-Aparicio},
  doi       = {10.14569/IJACSA.2024.0151021},
  url       = {https://doi.org/10.14569/IJACSA.2024.0151021}
}