Services
Clustering of Crimes
In retail, much of the operations are evolved around the product pricing. Customers will buy the product only at optimal price provided with best offers or discounts. Our AI-driven solution will provide a model for price comparison of recognized products which are available online, through various resources. Our AI solution can be used to identify an optimal price of a product for a set of recognised customers which will drive them to buy immediately.
Benefits:
- Helps in predicting frequency of happening of crime in a specific area.
- Helps in crime pattern recognition and the criminals involved in it.
Crime Rate Analysis
The utilization of our AI enabled App and Machine learning model enables the government to do the statistical analysis of the crime rate in a specific city or a locality. Here, Machine learning plays a vital role in analyzing the crime rate depending on various variables like crime type, city, geographic location, gender etc. This will help the government to deploy police at most likely places of crime for any given span of time, to allow most effective utilization of police resources.
Crime Pattern Recognition
We are identifying the Crime pattern by data mining using clustering techniques. Our machine learning model will be able to identify the crime patterns from large amount of data sets. It defines repeating patterns of crime at different interval of time of a day. For the accurate results of crime pattern analysis, one should have accurate data, correct values, complete information, efficient data mapping methodology and exact GIS location.
Understanding GEO and Time Related Crime Data
Criminal spatio-temporal pattern analysis provides geo- and time-related crime data. Our Machine learning model identify patterns from the dynamic interaction among space, time and crime. Occurrence of crime in an urban area is random and unevenly distributed, but our model will implemented with data mining framework works helps to improve the productivity of the detectives and other law enforcement officers.
