1. Real-Time Image Recognition using Cloudflare Workers


    To accomplish real-time image recognition using Cloudflare Workers, you will create a serverless function that is triggered when an image is uploaded to a specific route.

    The general steps to do this are as follows:

    1. Set up a Cloudflare Worker to listen on a specific route.
    2. Within the Worker, implement the logic to handle incoming image data.
    3. Perform image recognition using any suitable client-side JavaScript library or external API.

    In this scenario, the image recognition part will rely on client-side JavaScript or integration with a third-party service as Cloudflare Workers do not natively provide image recognition capabilities.

    Here is a Pulumi program that deploys a Cloudflare Worker that could act as a boilerplate for such functionality:

    import pulumi import pulumi_cloudflare as cloudflare # Your Cloudflare account ID account_id = "your-account-id" # Replace with your Cloudflare account ID zone_id = "your-zone-id" # Replace with your Cloudflare zone ID # Create a new Cloudflare Workers KV Namespace to store any data if needed kv_namespace = cloudflare.WorkersKvNamespace("my-workers-kv-namespace", title="my-kv-namespace", account_id=account_id ) # Upload the Worker script that will handle the uploaded images and perform recognition # In this script, you would include the logic to call an external image recognition service # or run a client-side image recognition library. The code for the image recognition part # is not included here and must be implemented in the actual worker script content. worker_script_content = """ async function handleRequest(request) { // Your logic for handling the request and performing image recognition goes here return new Response('Image recognition worker') } addEventListener('fetch', event => { event.respondWith(handleRequest(event.request)) }) """ # Create the Worker script resource using Pulumi worker_script = cloudflare.WorkerScript("my-worker-script", name="my-worker", content=worker_script_content, account_id=account_id ) # Route to trigger the Worker - change the pattern to match your specific trigger condition worker_route = cloudflare.WorkerRoute("my-worker-route", zone_id=zone_id, pattern="example.com/images/*", # Update this route pattern to your specific domain and path script_name=worker_script.name, ) pulumi.export("worker_url", pulumi.Output.concat("https://", worker_route.pattern))

    This program does the following:

    • It sets up a new KV Namespace associated with your Cloudflare Workers. This can be useful if you want to store some meta-data related to the image recognition tasks.
    • It uploads your Cloudflare Worker script. In the worker_script_content, you will insert the JavaScript code that handles the image uploads and communicates with an image recognition service or runs the recognition script.
    • It configures a new route in your Cloudflare settings. This route will trigger the Worker when a request matches the specified pattern.
    • It exports the URL that will trigger the Worker, based on the provided route pattern.

    Please note that for the actual image recognition, you might need to use an external API like AWS Rekognition or leverage a client-side JavaScript library that supports image recognition tasks. The image recognition code part should be inserted within the handleRequest function of the worker script.

    Remember that running more elaborate operations like image recognition can consume more execution time and resources. It's essential to ensure that what you're running fits within the limitations and pricing tiers of Cloudflare Workers and any third-party services you might use.