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Python/ Raspberry Expert--2 -- 2

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.

Interested?

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.

Квалификация: Machine Learning (ML), Neural Networks, Python, Raspberry Pi

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О работодателе:
( 0 отзыв(-а, -ов) ) Oakland, United States

ID проекта: #22726671

20 фрилансеров(-а) в среднем готовы выполнить эту работу за $540

topexpert713

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