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Solution Background

With rapid development of information technology, society informationization has experienced continuous development. With information penetrating into people’s daily life, all of the public’s activities in real life will generate a synchronous “data backup” in the digital world. The real world is mirrored in the digital world, with an increasing amount of information being transmitted and interacting between the two worlds in the form of data. Under such circumstances, how to utilize AI, big data analysis and other advanced technology to find out crime clues in digital world to spot, identify and crack down criminal activities in real life has been made the core challenge for the operation system in public security departments.

Solution overview

Application Scenario

Solution advantages

The Big Data Operation System BD-OS by PERCENT features one-stop data lifecycle management for big data, and it performs comprehensive data governance for massive multi-source heterogeneous data including unified data storage, cleansing and processing etc. Besides, BD-OS also employs all-process visualization window operation, which enables users to perform big data counting and modeling without using code. 

Through in-depth communication with police officers, PERCENT pools the crime-solving experience of senior police officers in the form of data model based on which an experience model library was established. Therefore, when new cases occur, case information will be fed into these models which will automatically compute different resource databases, and then present analysis result based on matching degree. The experience model library accelerates the works of police officers drastically.

Transitionally, public security department is responsible for solving cases after a crime is committed. While by utilizing our police affair big data analysis and prediction model, public security departments could identify criminal behavior in planning, predict criminal events and their potential hazards on society, develop an acumen for risks perception, and achieve proactive prediction, early warning and prevention so as to promote the transformation of a traditional police service system to a digital and intelligent police service system.

By adopting artificial intelligence technology, the solution could run in-depth semantic analysis on multimedia material and data and could fully understand the semantics and connotation of the aforementioned material and data. While combined with big data analysis technology, the solution could also perform semantic-level association analysis on multi-source heterogeneous data to identify underlying information and to help police officers to locate suspects in a timely manner.

Solution advantages

Visual Data Governance Operation

The Big Data Operation System BD-OS by PERCENT features one-stop data lifecycle management for big data, and it performs comprehensive data governance for massive multi-source heterogeneous data including unified data storage, cleansing and processing etc. Besides, BD-OS also employs all-process visualization window operation, which enables users to perform big data counting and modeling without using code. 

An Intelligence Police Service System Built on Experience

Through in-depth communication with police officers, PERCENT pools the crime-solving experience of senior police officers in the form of data model based on which an experience model library was established. Therefore, when new cases occur, case information will be fed into these models which will automatically compute different resource databases, and then present analysis result based on matching degree. The experience model library accelerates the works of police officers drastically.

Crime Prediction Analysis, Promoting Practice Model Transformation

Transitionally, public security department is responsible for solving cases after a crime is committed. While by utilizing our police affair big data analysis and prediction model, public security departments could identify criminal behavior in planning, predict criminal events and their potential hazards on society, develop an acumen for risks perception, and achieve proactive prediction, early warning and prevention so as to promote the transformation of a traditional police service system to a digital and intelligent police service system.

Perfect Combination of Artificial Intelligence and Big Data Technologies

By adopting artificial intelligence technology, the solution could run in-depth semantic analysis on multimedia material and data and could fully understand the semantics and connotation of the aforementioned material and data. While combined with big data analysis technology, the solution could also perform semantic-level association analysis on multi-source heterogeneous data to identify underlying information and to help police officers to locate suspects in a timely manner.

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