A Smart Crime-Curbing System

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A Smart Crime-Curbing System
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Team Members Electrical Power Board (EPB), Chattanooga Enterprise Center, CoLab, UTC Police, UTC CSE department
Point of Contact Li Yang
Participating Municipalities Chattanooga, TN
Status
Website
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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

Major 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

Performance Targets

Key Performance Indicators (KPIs) Measurement Methods
  • 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 of response time in seconds over 3-6 month period, compared to baseline
  • Measurement of crime occurrence over past years

Standards, Replicability, Scalability, and Sustainability

  • 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 and Privacy

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/Deployment

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.