A Smart Crime-Curbing System

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A Smart Crime-Curbing System
GCTC logo 344x80.png
Team Organizations Electrical Power Board (EPB)
Chattanooga Enterprise Center
UTC Police
UTC CSE department
Team Leaders Li Yang
Participating Municipalities Chattanooga
Status Concept only Stage


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.


  • 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


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


  • 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


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.

In segment Public Safety

Year Started 2016