Could Big Data Unlock the Potential of Predictive Policing
The use of bigdata analytics is rapidly expanding in almost every field imaginable. From providing advertisements customised for the users to catching criminals and preventing crimes, big data is being used.
Could Big Data Unlock the Potential of Predictive Policing.
Predictive policing is a relatively new concept. It means the use of big data analytics to predict any crimes that are going to occur and thus takes steps to prevent it or reduce its impact. This type of system is already being tried out and is found to be helpful in reducing the crime rates.
How does this work?
This could sound as if it were straight from a science fiction movie to many of us but this system is up and running as of now and that too very effectively. The big data systems gather information from surveillance sources, social media and web sources, then this data is processed to find patterns, relationships or common factors between the crimes. This data processing leads to finding information that is helpful in predicting the future occurrence of crimes. Large big data processing systems take in this information and provide real time predictions on the locations where crimes are most likely to occur in the near future. This is very much useful to the law enforcement agencies. With the knowledge of the crimes which are going to occur, the police are immediately sent to the location and can prevent the incidents from occurring. This is certainly one of the best uses of big data analytics.
This concept is currently up and running in a few locations such as Santa Cruz – California, Pittsburgh – Pennsylvania. This system has helped in optimising the use of the available police personal in the most effective manner. Since there is limit on the number of police officers and the number of hours they work, optimal utilization of these work hours can lead to a very significant effect in the crime levels.
This is the age of data. Data is the new oil. The data sources for the analytic programs include surveillance cameras, police databases, social media and web data. Private parties can also provide data which is obtained through their personal mediums such as in-house CCTV cameras.
An imaginary case.
Consider that a robbery has occurred in your neighbourhood. With the help of forensic team, police gather information about the fingerprints of the culprit. From the camera opposite to the house the police find that even though the person has covered his face they find a particular tattoo in the persons arm. Now geared with this information and the big data analytics devices the police can find out the persons that fall into this category. The advancement of social media can be helpful even in pinpointing the exact culprit. Such is the power of Big Data analytics.
As seen in the already running locations, this system has been proven to reduce the crimes significantly and due to the surge in the data this system is going to be much more accurate in the future and could possibly lead to almost NIL crime levels.
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