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Surveillance Detection Scout: Your Lookout on Autopilot

Surveillance Detection Scout is a hardware and software stack that makes use of your Tesla's cameras to tell you if you're being followed in real-time. The name, as you likely gathered, pays homage to the ever-effective "Surveillance Detection Route". When parked, Scout makes an excellent static surveillance practitioner as well, allowing you to run queries and establish patterns-of-life on detected persons.

Before going any further, I want to make sure to acknowledge the people (and repositories) who helped this project, without knowing they did so.

  1. TeslaUSB (https://github.com/marcone/teslausb).
  2. ALPR-Unconstrained (https://github.com/sergiomsilva/alpr-unconstrained).
  3. Facenet (found at https://github.com/davidsandberg/facenet).
  4. The whole team at Tevora (https://threat.tevora.com).

Information

Scout is a simple to install, and simple to use tool for analyzing video data from Tesla Model S, 3 and X camera feeds.

Scout is intended to be built on an Nividia Jetson Xavier to Nano, but you may use a Raspberry Pi 4 if real time notification isn't a priority.

Code Installation

Will be updated in next 24 hours- take a look at the BOM list below, "watch" this repo to be notified when it does- it will be before you get the necessary supplies!

BOM

List:

Disclaimer

This framework is provided for educational purposes only. Using this framework without permission from all appropriate parties may be against the law depending on your jurisdiction. Use at your own risk.

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