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.
Prepare video demo.
Write "I have Raspberry pi" in front of your bid.
20 фрилансеров(-а) в среднем готовы выполнить эту работу за $540
"I have Raspberry pi" Hi there, I have read your project details and I would like to work with you on this project!! I am ready to start work. I am looking forward to hearing from you.
Hi, Thanks for posting !!! I have 6+ years of experience in Python development. I have checked The requirement and understand that as well. I have created SIMILAR in past. Do you want to see the DEMO ??? Thanks.
I'll complete your project satisfactorily. You will get quality work at an affordable price. I can start work right away. I will be looking forward to hearing from you. Thank you.
I have Raspberry PI. Hi, I am a professional Raspberry PI engineer who is very familiar with ML and Image Recognition. The model is Raspi 4B, CAN extension module. Look forward to working with you. Ning