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1
Introduction
2
Scout Overview
3
Privacy Implications
4
Nest Cams
5
Pen Testing
6
Why Tesla
7
Inspiration
8
Requirements
9
Parts
10
Realtime
11
Getting into Code
12
Preparing for Inference
13
Folders
14
Iframes
15
Preprocessing
16
Inference
17
Watchdog
18
ALPR
19
Alerts
20
Improvements
Description:
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.

Surveillance Detection Scout – Your Lookout on Autopilot

Devoxx
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