A Smart Crime-Curbing System
|A Smart Crime-Curbing System|
|Team Members||Electrical Power Board (EPB), Chattanooga Enterprise Center, CoLab, UTC Police, UTC CSE department|
|Point of Contact||Li Yang|
|Participating Municipalities||Chattanooga, TN|
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
- 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
|Key Performance Indicators (KPIs)||Measurement Methods|
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.