Intellectual Property

Leading innovation in smart traffic enforcement.

With world-class engineers and a highly experienced R&D leadership team, Francis AI is pioneering the next generation of smart traffic enforcement technologies with an unrivaled portfolio of inventions that is years ahead of the industry.

 

Unmatched patent portfolio inspired by autonomous vehicle technology.

The Francis AI platform utilizes high-performance computer vision algorithms and machine learning capabilities at the edge, along with sensor fusion for precision localization, mapping layers that act as a “supersensor”, and cloud computing for big data processing.

Francis AI's products are covered by U.S. patents and pending applications.

    • Near real-time detection of traffic violations

    • Edge processing using mobile perception devices

    • Communication with a central cloud server for further processing

    • Reasoning engine that verifies detected traffic violations

    U.S. Patent Number 11,003,919 B1

    Read More >

    • Leverages advanced computer vision and deep learning methods

    • Identifies the relative positions of vehicles with centimeter-level accuracy

    • Distinguishes between multiple lanes on a particular roadway

    • Computes the degree of overlap between vehicles and lanes at the edge

    U.S. Patent Number 11,164,014 B1

    Read More

    • Provides spatial awareness to mobile perception devices

    • Segments the scene at a pixel-level and tracks salient visual points

    • Allows government agencies to manage traffic enforcement rules

    • Interactive map editor to modify traffic rules and enforcement logic

    U.S. Patent Number 11,322,017 B1

    Read More >

    • Enables 3D reconstruction of scenes with real-time data

    • Achieves centimeter-level accuracy in locating vehicles

    • Forms a super sensor by integrating prior map with multiple sensors

    • Allows mobile perception devices to see and reason in 3D

    • Reduces the impact of a breach with a distributed hyperledger fabric

    • Protects the sensitive data chain of custody of digital evidence

    • Implements government-grade encryption for data transfer to the cloud

    • Supports AI processing at the edge to minimize data movement

    US Patent Application Serial Number 17/805, 296

    • Enables real-time reporting of dangerous driving behavior

    • Converts mobile phones into AI-powered dashboard cameras

    • Creates content lakes with natural language-based data from citizens

    • Generates a digital twin of the city’s main roads and curbsides in real time

    U.S. Patent Application Serial Number 17/451,370

Unmatched patent portfolio inspired by autonomous vehicle technology.

The Francis AI platform utilizes high-performance computer vision algorithms and machine learning capabilities at the edge, along with sensor fusion for precision localization, mapping layers that act as a “supersensor”, and cloud computing for big data processing.

Francis AI's products are covered by U.S. patents and pending applications.

 

    • Near real-time detection of traffic violations

    • Edge processing using mobile perception devices

    • Communication with a central cloud server for further processing

    • Reasoning engine that verifies detected traffic violations

    U.S. Patent Number 11,003,919 B1

    Read More >

    • Leverages advanced computer vision and deep learning methods

    • Identifies the relative positions of vehicles with centimeter-level accuracy

    • Distinguishes between multiple lanes on a particular roadway

    • Computes the degree of overlap between vehicles and lanes at the edge

    U.S. Patent Number 11,164,014 B1

    Read More

    • Provides spatial awareness to mobile perception devices

    • Segments the scene at a pixel-level and tracks salient visual points

    • Allows government agencies to manage traffic enforcement rules

    • Interactive map editor to modify traffic rules and enforcement logic

    U.S. Patent Number 11,322,017 B1

    Read More >

    • Enables 3D reconstruction of scenes with real-time data

    • Achieves centimeter-level accuracy in locating vehicles

    • Forms a super sensor by integrating prior map with multiple sensors

    • Allows mobile perception devices to see and reason in 3D

    • Reduces the impact of a breach with a distributed hyperledger fabric

    • Protects the sensitive data chain of custody of digital evidence

    • Implements government-grade encryption for data transfer to the cloud

    • Supports AI processing at the edge to minimize data movement

    US Patent Application Serial Number 17/805, 296

    • Enables real-time reporting of dangerous driving behavior

    • Converts mobile phones into AI-powered dashboard cameras

    • Creates content lakes with natural language-based data from citizens

    • Generates a digital twin of the city’s main roads and curbsides in real time

    U.S. Patent Application Serial Number 17/451,370

 

The world leader in smart enforcement technologies.

 

Mobile Perception System

An end-to-end framework that captures and processes video data to detect traffic violations involving a vehicle and a restricted road area.

  • Near real-time detection of traffic violations

  • Edge processing using mobile perception devices

  • Communication with a central cloud server for further processing

  • Reasoning engine that verifies detected traffic violations

U.S. Patent Number 11,003,919 B1

Read More >

Powerful Edge Machine Vision

An algorithm that analyzes video frames to identify vehicles and lanes of interest (LOI), their relative positions, and the degree of overlap between them.

  • Leverages advanced computer vision and deep learning methods

  • Identifies the relative positions of vehicles with centimeter-level accuracy

  • Distinguishes between multiple lanes on a particular roadway

  • Computes the degree of overlap between vehicles and lanes at the edge

U.S. Patent Number 11,164,014 B1

Read More >

Mapping With Policy Layer

Semantic maps are embedded with policy layers annotated with traffic enforcement rules to provide context about the severity and causation of traffic violations.

  • Provides spatial awareness to mobile perception devices

  • Segments the scene at a pixel-level and tracks salient visual points

  • Allows government agencies to manage traffic enforcement rules

  • Interactive map editor to modify traffic rules and enforcement logic

U.S. Patent Number 11,322,017 B1

Read More >

Precision Localization From Sensor Fusion

Data from multiple sensors are combined to generate high-resolution maps that accurately localize the position of vehicles relative to other objects.

  • Enables 3D reconstruction of scenes with real-time data

  • Achieves centimeter-level accuracy in locating vehicles

  • Forms a super sensor by integrating prior map with multiple sensors

  • Allows mobile perception devices to see and reason in 3D

Advanced Data Security and Privacy Controls

The system embeds the best practices for data security and privacy in the design to protect citizen data and comply with global privacy regulations.

  • Reduces the impact of a breach with a distributed hyperledger fabric

  • Protects the sensitive data chain of custody of digital evidence

  • Implements government-grade encryption for data transfer to the cloud

  • Supports AI processing at the edge to minimize data movement

US Patent Application Serial Number 17/805, 296

Crowdsourced Reporting

Citizens support traffic enforcement through a mobile application that collects real-time data using the phone camera and machine learning algorithms.

  • Enables real-time reporting of dangerous driving behavior

  • Converts mobile phones into AI-powered dashboard cameras

  • Creates content lakes with natural language-based data from citizens

  • Generates a digital twin of the city’s main roads and curbsides in real time

U.S. Patent Application Serial Number 17/451,370

 Learn how the Francis AI smart traffic enforcement platform can transform your city’s services.