“I’m not doing any cutting-edge AI,” Kain says. The system also uses Google’s Open Images Dataset as training data. Its machine learning engine is an open source neural network framework called Darknet, which is paired with ALPR Unconstrained for recognizing license plates and Facenet for tracking faces. The program works by utilizing Tesla’s three cameras - two of which are located in the sideview mirrors and one forward-facing - on a Nvidia Jetson Xavier mini-computer. Kain was able to create the Surveillance Detection Scout primarily by using free code available on GitHub (Kain has made Surveillance Detection Scout available on GitHub as well). The intent is to offer a warning that someone might be preparing to steal the car, tamper with it, or break into the driver’s nearby home, says Kain. When parked, it will track nearby faces to see which repeatedly appear.

Related: Researchers Show How Easy It Is to Hijack an IoT Surveillance Feed The system can then push an alert to the car touchscreen and user’s phone if it repeatedly sees the same license plate. The computer turns the car’s built-in cameras into a surveillance system that spots, tracks and stores license plates and faces. Several weeks ago at the DEF CON hacker conference in Las Vegas, Truman Kain unveiled the Surveillance Detection Scout, a DIY computer that fits into the console of a Tesla Model S or Model 3 and plugs into the dashboard USB port. Now, we have a security researcher that has turned his Tesla Model S into what he calls an “AI-powered surveillance station.” We’ve seen a security dealer use his Tesla to automate his home. Being covered in numerous cameras and sensors also opens the door to hacking, in both good ways and bad.

However, features like its autopilot function can lead to drivers paying less (or no) attention to the road. They are marketed as being good for the environment and coming loaded with advanced technology. Unable to connect to the device remotely.Tesla vehicles are known for a lot of things, for better or for worse. Incorrect password This account has been activated Unsupported image type Cannot read image file has not linked platform ' QPKG is currently not running on this device. Info Successful Warning All Error Sending request to server failed! QNAP Account All Products User not found User already exists. Internet connection error, please try again later.

Surveillance station license hack