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Project Challenge�The CIVIC research pilot project tackles the challenge of translating AI-driven research into practical urban solutions by deploying a privacy-preserving video analytics framework in Charlotte Center City. The project aims to overcome subjective urban planning assumptions with data-driven insights, enhancing safety, accessibility, and resource allocation. It bridges the disconnect between pedestrian behavior analysis and actionable outcomes, empowering stakeholders with tools to foster a safer, more vibrant urban environment.

[Strengthening Community Safety and Well-being with Ethical, AI-Assisted Video Solutions]

[Location: Uptown Charlotte]

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NSF Award ID: 2431274

PI: Hamed, Tabkhi,

UNC Charlotte

2024 Civic Innovation Challenge

Pilot Vision

AI-based video solution (leveraging existing CCTV infrastructure) to support the transformation of Charlotte Center City from a traditional Central Business District into a dynamic Central Activity District.

  • AI-Proactive safety measures; 20% reduction in public safety incidents and 35% increase in perceived safety.
  • AI-generated insights to improve infrastructure and accessibility in Charlotte’s Center City; 15-20% increase in walkability score.
  • Empower small business owners with AI-guided insight - 20% increase in customers' dwell time and 25% increase in the flow efficiency

Civic Partners:

  • Charlotte City Center Partners
  • Mecklenburg County Alcoholic Beverage Control Board
  • Charlotte the Market at 7th Street

Research Partners:

  • UNC Charlotte
  • Central Piedmont Community College (CPCC)

Research Questions

  • What are the most effective methods for integrating AI-driven video analytics into existing CCTV system?
  • What effects do AI-driven active video solution have on law enforcement efficiency and decision-making processes?
  • What engagement strategies are most effective for collecting public input and communicating transparently?