Build Tesla LPR Scanner (Plans included)
The Surveillance Detection Scout prototype, whose software Kain has made available on Github, works by capturing and analyzing the video from a Tesla's three cameras—two on its sideview mirrors and one forward-facing—on a $700 Nvidia Jetson Xavier mini-computer.
It uses an open source neural network framework called Darknet as its machine learning engine, along with ALPR Unconstrained for recognizing license plates and Facenet for tracking faces.
Both of those programs are available for free on Github. The system also uses Google's Open Images Dataset as training data.
Build the unit: [login to view URL]
While I use [login to view URL] for my LPR, I'm looking for a Rasberry Pie (or similar) LPR I can put in a starbucks cup and power with battery.
wifi/4G connected to remote into would be even better.
alerts if License plate # is seen
Color of car, detect make/model of car
Need low power system that any usb camera can connect to.
we may need to do USB camera and Ethernet Camera
** Accuracy must be very good. ***
Auto bidder ignore. After figure out enough, please bid.
Write "I have Raspberry pi" in front of your bid.
17 freelancer đang chào giá trung bình $659 cho công việc này
I am Jimmy. I am Raspberry PI & Python specialist. I have RPI 3 in my hand. I understood your project idea. Please let's discuss your project together. Thank you
I have RaspberryPI. I have Raspberry PI on my side and could definitely help you with your project. My Raspi is Model4B. I am good at Tensorflow. Thank you. Look forward to working with you.