Based on past crime patterns and surroundings, you can predict where future crimes are likely to occur. In addition, we will enhance the crime deterrence effect by presenting a route that focuses on guarding areas where crime is likely to occur based on crime prediction.
Based on the crime prediction results, if you formulate a route that focuses on areas where the probability of crime is predicted to occur, the security effect will be greatly improved. The graph below is the result of calculating and verifying how much the established security route covered the place where the crime actually occurred as a security effect based on the actual data. Verification in Tokyo, Nagoya, and Adachi Ward has shown that it is more than 1.5 times more effective than conventional crime prediction methods. By route formulation, it can be seen that the spatial distribution of the prediction results of CRIME NABI is more effective than the conventional method.
The system collects data on past crimes, artificial density, land use data, weather, etc., and uses two types of proprietary algorithms to predict crimes.
Criminals have a temporal pattern because once they succeed in committing a crime, they repeat the same technique. By applying the theoretical physics formulation to the model that can describe this, stable calculation is possible even with small data, and high accuracy is achieved.
The model is designed to describe the type of crime to be predicted by adding up various spatial patterns of crime occurrence and population density. The bottleneck of such algorithms is that they are computationally expensive, since they usually require large data input and unknown parameters for the number of spatio-temporal meshes. Singular Perturbations has developed a proprietary mathematical algorithm that pre-compresses the data, enabling fast prediction calculations.
In compared to conventional methods, CRIME NABI's forecasting method can predict crimes without significant differences from actual crime maps.
As input data increases, CRIME NABI can achieve unparalleled speedups, whereas conventional methods require more computation time. Edge computing is also possible because it utilizes a method that allows the cost function optimization process to be computed in O(N^0). This technology will lead to a future where calculations are performed on mobile devices, drones, and robots to provide optimal security. (free version)
Depending on the crime situation, we will develop a route to focus on security where crimes are predicted to occur.
By reversing the crime prediction results, it is possible to formulate a safety route that takes safety into consideration, although it is not the shortest.
This will improve the security effect and reduce damage.
In the figure on the right, you can see that the security routes established in the areas where m crimes are predicted to occur are densely packed.
Research teams specializing in computational criminology, spatial statistics, computational science, and criminology develop various crime prediction algorithms.