Deep Learning Techniques for Crime Hotspot Detection

  • Nair S
  • Gopi E
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Abstract

Criminal activitiesNair, Sankar N. affect our societies in many adverse ways. Predicting the locationsGopi, E. S. where future crimes are more likely to happen would immensely help the police forces all over the world in preventing likely crimes. This project proposes a novel approach for predicting future crime hotspots from past crime data. The locations where every crime has happened are collected and converted into grayscale heat maps and used to predict future hotspots. A deep learning-based approach is employed as it provides a better performance and faster results as compared to the existing techniques, thereby providing real-time data for police forces to function more efficiently. The proposed idea, if implemented, could be expected to reduce the crime rates in the future.

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Nair, S. N., & Gopi, E. S. (2020). Deep Learning Techniques for Crime Hotspot Detection (pp. 13–29). https://doi.org/10.1007/978-981-15-0994-0_2

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