Digital Transparency & Technology

FAQ

• Who is accountable for this technology?

  • Automotus is the programmatic partner installing the CurbSight cameras and CurbSuite web application, the integration interface, and Falcon artificial intelligence cameras.
  • Blue Systems is developing a platform to provide analytics within a dashboard user interface for data collected by Automotus’ equipment.
  • Cityfi is the Project Manager for the Miami-Dade County SMART Curbs Project, ensuring the project meets all milestones, facilitating collaboration among project partners and other collaborative cities, and providing technical support related to data, policies and regulations, communications, and curbside management.
  • Urban Health Partnerships (UHP) is leading the effort to engage community members and stakeholders across the County by implementation of UHP’ Community Liaison Framework. Through the Community Liaison Framework, a network of Miami-Dade County Community Liaisons (CLs) will elicit feedback on travel behaviors, technology adaptation, and help determine where the most impactful investments can be made.
  • Urban Freight Lab (UFL) is providing technical assistance to guide the project team on decision-making based on their unique expertise in urban freight systems.

• What is the purpose of this technology?

  
  To support mobility — the ways in which people and materials move around.

• What type of technology is this?

  The technology generates still images of a sufficient resolution where individuals can be identified, for example by capturing images of faces or unique numbers such as vehicle license plates. However, images are processed in a way that removes identifying characteristics before it is used or stored (known as de-identified before first use or de-identified on device), for example by blurring faces using computer vision.
  
  

  

• What type of data is being collected?

  • Spatial: Data that represents a location, such as an address, a place name or geographic coordinates; or a structure, such as a floorplan. Find out more about geospatial data and building information models
  • Tabular: Data stored in a table, where values are stored in rows and columns
  • Boolean: Data that has one of two data values (i.e.: true and false)
  • Values/Time: Measurements that are collected at regular intervals over a period of time.

   
  
  

• How will this data be processed?

  • AI System: Data that is processed by automated, algorithmic or artificial intelligence systems to derive a new result or data point
  • Computer Vision: Computer vision refers to computer science methodologies that enable computers to derive data from digital images or video
  • De-Identified: Data that is processed to remove identifying values, usually to protect privacy. De-identification can happen at any point in a data collection process, for example before it is stored in a database, or before it is published. Here we define it to mean after the data has already left a hardware device, or after it has been stored in a database
  • Encrypted: Data has been encoded so that only authorized parties can access it, which can reduce risk related to handling private or sensitive information.

     
  

• Who can access this data?

  

   

  This data is available to all accountable organizations and technology providers:

  Automotus, Cityfi, UHP, and Miami-Dade County 

• How is this data stored?

  

   

  The data is retained indefinitely, and stored on behalf of the organization or the data collector in an off-site data centre, Amazon Web Services (AWS). The data is stored in the same jurisdiction where it was collected.