MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621068286 A) filed by Amrata Gupta; Sonal Sharma; Mrs. Sunita Rajaram Chafekanade; Dr. Nidhi Tiwari; M. Keerthi Priya; Suraj Maruti Shet; J. Padma Priya; Dr. M. Kavitha; L. Sunanda; Venkata Satya Praveen Rani; Dr. Dhananjay; and Yadav Amol Pandurang on June 01, 2026, for Machine Learning And Graph Topology-Based Crime Prediction And Surveillance System For Smart Cities.
Inventors include Amrata Gupta; Sonal Sharma; Mrs. Sunita Rajaram Chafekanade; Dr. Nidhi Tiwari; M. Keerthi Priya; Suraj Maruti Shet; J. Padma Priya; Dr. M. Kavitha; L. Sunanda; Venkata Satya Praveen Rani; Dr. Dhananjay; and Yadav Amol Pandurang.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present invention relates to the development of an apparatus for predicting and surveillance of crime using machine learning algorithms and graph topologies for smart cities. The device is made up of multi-source data acquisition apparatus, a preprocessing apparatus, graph topology apparatus, machine learning prediction apparatus, and alert communication apparatus. The apparatus combines surveillance data, IoT data, geographic location data, and crime data to derive graph-based relationship models and predictive analytics on crime occurrences. Graph Neural Network and anomaly detection algorithms are used for prediction of criminal zones and anomalous activities. The apparatus further includes generation of crime heatmap and intelligent surveillance. FIG.1
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