A Serious and organized crime is a significant challenge for all governments. It is not only a challenge in its own right by undermining personal and state security, but has the potential to impact upon other critical areas of human security, be they social, political, economic or environmental. It threatens safety, stability and development at the level of the individual, in local communities and nationally.
” Garuda” can Enable the government to more effectively protect the state and its people from the effects of serious and organized crime. And institutionalize procedures in which information on serious and organized crime can be more systematically collected, assessed and published.
“Garuda” can analyze Organized Crime. Law enforcement professionals call it knowing your enemy. The more police know about those who break the law, the better chance they have of obtaining justice. Learning about the enemy is called gathering intelligence. These criminal organizations have established rules and can run with a military-like precision, with a clearly defined chain of command. Organized crime is often more complex than a simple gang, and can entail many gangs that work together for a common criminal cause. Knowledge of the structure of the organization and who works for whom can help police make the correct arrests at the correct time. That intelligence also includes the history of organized crime ,how it has grown in sophistication, how it has evolved, and how it has adapted.
“Garuda” can play a key role in the information supply chain for a growing number of police forces in the India. After a short training session, police officers can easily discover patterns and trends, make forecasts, find relationships and possible explanations, map criminal networks and identify possible suspects. The unique data mining technology of “ Garuda” can be applied to a large analysis database containing data from various police systems and external sources, such as weather data, sociodemographics and maps.
“Garuda” AI modules abilities are
1 Creating a forecast map of a specific crime type in a given context: date, time, weather, etc.
2 Finding series of incidents with similar motive and suspect descriptions.
3 Determining possible suspects by comparing cases with incidents from the past.
4 Finding explaining factors for a trend or a particular behavior.
5 Mapping networks of criminals.
6 Finding combinations of location, time and circumstances where a specific crime type is likely to occur, for tactical use.
7 Using self-learning models, for example, to recognize persons that are probably armed and dangerous.