Crime Prediction and Citizen Security Plans using Big Data in Metropolitan Lima

Perez-Siguas R.; Matta-Solis H.; Matta-Solis E.; Artezano A.R.; Matta-Solis D.; Millones-Gomez S.; Cumpén-Vidaurre R. · International Journal of Engineering Trends and Technology (2022) · DOI: 10.14445/22315381/ijett-v70i10p215

Resumen

Currently, all citizens feel very insecure due to the amount of robbery in the streets because it does not matter if you are alone or accompanied, and they will still rob you. In addition, citizens try not to go out in the streets at very late hours for fear of something happening to them. But the police are taking measures to make the country safer and prevent crime, improving citizen security. The design of the Application will be able to help prevent people who are nearby and to show the police the places that are too dangerous in real time since it will have the interconnection of police cameras so that they can detect assaults or crimes that may occur during that time and will also allow you to put together the strategies that you are going to require. In this work, the SEMMA methodology was used for the development and the Adobe XD tool for the design of the prototype. The results obtained from the investigation will be to know and predict which places there are more robberies to make better decisions.

Instituciones: Universidad Nacional Tecnológica de Lima Sur; Universidad Nacional del Callao