Plate Recognizer Deployment Guide with Docker Compose

This guide will walk you through deploying Plate Recognizer using Docker Compose.

Prerequisites

• A valid Plate Recognizer API key and license key, which can be obtained from https://app.platerecognizer.com
• Docker and Docker Compose installed on your machine
• An API Gateway (such as Kong) with authentication and rate-limit modules configured

Deployment Steps

1. Clone or download the Plate Recognizer repository from GitHub.
2. Rename the default.env file to .env and update the TOKEN and LICENSE_KEY variables with your Plate Recognizer API key and license key.
3. Run docker-compose up -d to start the Plate Recognizer container.
4. Configure your API Gateway to use the Plate Recognizer container as a service and enable authentication and rate-limiting as necessary.
5. Do not publish the Plate Recognizer container's port to the public IP address.

Access

Once the Plate Recognizer container is running, You can access it using the following URL: http://ip:port/v1/plate-reader/

Advanced Configuration

The deployment includes several performance and monitoring features:

Resource Limits

• CPU: Maximum 4 cores, minimum 2 cores
• Memory: Maximum 4GB, minimum 2GB

Environment Variables

• WORKERS: Number of worker processes (default: 2)
• MAX_REQUESTS: Maximum number of requests per worker (default: 5000)
• CONFIDENCE_THRESHOLD: Minimum confidence score (default: 80)
• REGION: Region specific optimization (default: th)
• LOG_LEVEL: Logging verbosity (default: INFO)

Health Checks

The container includes automatic health checks every 30 seconds.

Logging

JSON format logs with rotation:

• Maximum file size: 10MB
• Keep last 3 log files

Conclusion

By following these steps, you have successfully deployed Plate Recognizer using Docker Compose, and have added an extra layer of security with an API gateway.

More information about Plate Recognizer

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