Computer Vision on Edge: Real Time Number Plate Recognition on an Edge Device

Computer Vision
on Edge

Real Time Number Plate Recognition
on an Edge Device

Join the Computer Vision School

1. Course trailer
2. Course introduction
3. MVP description
4. System description
5. Proof of concept
1. Create dataset
2. Curate dataset
3. Produce new annotations
4. Balance dataset
5. Train object detector with yolov7 tiny
6. Model evaluation
7. Generic model evaluation
8. Practical model evaluation
9. Model weights
10. Model definition
1. License plate formats
2. Simplify problem
3. Image pre-processing
4. Get text from license plate
1. Dual-thread processing
2. Configuration
3. Process frame
4. Publish results
5. Project repository
1. Introduction
2. Setup Raspberry Pi
3. Prevent overheating
4. Visualization mode
5. Setup project repository (local web app)
6. Setup project repository (cloud web app)
1. Introduction
2. Create database
3. API description
4. API code walkthrough
5. Visualization setup
6. Source code
7. Environment variables
8. Deployment
9. Test web app
1. Introduction
2. Device setup
3. Install producer SDK C++
4. RTSP camera
5. AWS Access keys
6. Stream video
7. Web app setup
8. Source code
9. App deployment
10. Create IAM user
11. Environment variables
12. Test Web App

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