»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.«
Researcher Truman Kain therefore uses Facenet Image Recognition training data and Plugs into Teslas public API. For License Plate Recognition he uses ALPR. To save the imagery created by the three Tesla front cameras, he uses a software called Tesla USB.
Wired-Author Andy Greenberg notes:
»Kain, a consultant for the security firm Tevora, also isn’t oblivious to his creation’s creep factor. He says the Surveillance Detection Scout demonstrates the kind of surveillance the data that self-driving cars already collect could enable.«
To adversarial.io this presents a use-case where you want to have adversarial patches on license plates (if that is not forbidden by law, because it presents some kind of obfuscation) and of course wear an adversarial t‑shirt of some kind… This case also reminds me of the speculation, that UBER at some point might make their cars more profitable, by using them as data collection drones.