License Plate Detection Demo Using Raspberry Pi Camera

Video Description

No more parking tickets? Product Links (some are affiliate links) - Raspberry Pi 5 👉 https://amzn.to/3SzmYiT - Raspberry Pi Camera 👉 https://amzn.to/3u9ewh8 🧠 Need expert help fast? Book a 1:1 session and get unstuck today 👉 https://bit.ly/42I10y5 🎥 NEW: Unlock members-only videos and behind-the-scenes drops 👉 https://bit.ly/4iyBm4I 🛠️ The exact tools and gear I trust (and actually use) 👉 https://amzn.to/44fKDv4 📚 Step-by-step setup guides, templates, and insider resources 👉 https://bit.ly/4ivZDID 🛒 Grab custom gear and tools designed by me 👉 https://etsy.me/4isKwjb 📩 For sponsorships or business inquiries, reach out: [email protected] This tutorial will demonstrate how ip cameras or Raspberry Pi with camera module can be used to both detect and transcribe license plates in video feeds. This particular implementation uses a license plate recognition software package called Open ALPR. OpenALPR is a NVIDIA software company that develops license plate and vehicle recognition products. The OpenALPR software achieves state-of-the-art accuracy through the use of deep learning. OpenALPR products are used in a wide variety of applications, such as surveillance, parking enforcement, data entry, and supply chain automation. The company is based in Boston, MA and supports customers worldwide. ALPR, ANPR, LPR, License Plate Recognition, Open Source, Free, License Plate, Number Plate Outline Intro 0:00 - 1:02 Parking Garage Prototype 1:02 - 1:55 Open ALPR 1:55 - 2:28 Tech Stack 2:28 - 3:26 Configure RPI 3:26 - 4:00 Add Camera Module 4:00 - 4:34 Format MicroSD Card 4:34 - 5:00 Install Imager 5:00 - 5:22 Advanced Options 5:22 - 6:23 Boot RPi 6:23 - 7:30 Connect to RPi with SSH 7:30 - 14:10 Create AutoML Model 14:10 - 41:33 GitHub Repo https://github.com/aioverlords/License-Plate-Detection #computervision #raspberrypi #openalpr Open ALPR https://www.openalpr.com/ https://www.tensorflow.org/js https://tesseract.projectnaptha.com/ https://www.raspberrypi.com/software/