Edit ActionCluster: A Smart Crime-Curbing System

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Description:	Build a connected, real-time system to help curb crimes in urban areas, integrate real-time response with predictive policing, and standardize procedures for emergency response. Involve city, police, public safety officials, application developers, electrical power board, enterprise center, company lab, and citizens.
Challenges:	* Creating a reliable and resilient network to enable real-time communication between citizen and public safety officials * Locating individuals needing help based on GPS or wireless mesh network * Integrating real-time response with predictive policing * Implementing university campus police systems with city police systems * Developing application within allowance of regulation
Solutions:	TBD
Requirements:	* Assemble project team * Decide on the project scope and high-level requirements * Develop the system architecture; gain support from city and buy-in from the community partners * Simulate project scenario to determine feasibility * Build an application development team, understand existing communication infrastructure, identify hardware and software requirements and constraints, identify law enforcement district for development of a pilot and testing program * Implement the project and run pilot for two months
Kpi:	* Average response time of an incident * Average time to handle crime report * Average actual occurrence of crimes * Crime reduction in designated areas of the city (by 10%)
Measurement:	* Measurement of response time in seconds over 3-6 month period, compared to baseline * Measurement of crime occurrence over past years
Standards:	* Requires interoperable communication interface among heterogeneous network and devices * Establishes standardized procedures for response to crime report * Interoperable interface, standardized process, and off-shelf hardware can be replicated and scaled up in multiple communities and cities. * They system will be sponsored by city and community
Cybersecurity:	TBD
Impacts:	* Reduction of reported crime response time * Reduction in crime occurrence * Improvement in public safety and therefore quality of living * Community acceptance and adoption of smart technologies to improve public safety, and transfer the effective model to other cities
Demonstration:	Phase I Pilot: * Simulation of communication and response, analysis of historical open data such as 911 calls, permit data, a prototype that allows communication between citizen to law enforcement in certain areas. Phase II Deployment: * Real-time working application tied to university campus and city police system on city-wide scale, supporting over 50% of the city.
Chapter:	Law and Order
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