Explore the development and implications of Surveillance Detection Scout, a hardware and software system that transforms Tesla vehicles into mobile surveillance stations. Delve into the technical aspects of this open-source project, including real-time license plate recognition, familiar face detection, and pattern-of-life analysis. Learn about the hardware selection, computer vision techniques, and web stack implementation. Examine the privacy considerations and potential offensive and defensive applications of this technology. Gain insights from creator Truman Kain's background in design, marketing, and machine learning as he discusses the project's inspiration, requirements, and technical implementation. Discover how Scout combines vehicle location data, video feeds, and an intuitive web interface to provide comprehensive situational awareness.
Overview
Syllabus
Introduction
Scout Overview
Privacy Implications
Nest Cams
Pen Testing
Why Tesla
Inspiration
Requirements
Parts
Realtime
Getting into Code
Preparing for Inference
Folders
Iframes
Preprocessing
Inference
Watchdog
ALPR
Alerts
Improvements
Taught by
Devoxx