Run Recognition with Plate Recognizer API

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Run Recognition with the Plate Recognizer API

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Getting Started#

Create a workflow to Run Recognition with the Plate Recognizer API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Configure the Run Recognition action
1. Connect your Plate Recognizer account
2. Configure Image Path or URL
3. Optional- Configure Regions
4. Optional- Configure Camera ID
5. Optional- Configure MMC
6. Optional- Configure Config
Select a trigger to run your workflow on HTTP requests, schedules or app events
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Integrations#

Run Recognition with Plate Recognizer API on New Requests (Payload Only) from HTTP / Webhook API

HTTP / Webhook + Plate Recognizer

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Run Recognition with Plate Recognizer API on New Submission from Typeform API

Typeform + Plate Recognizer

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Run Recognition with Plate Recognizer API on New Submission (Instant) from Jotform API

Jotform + Plate Recognizer

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Run Recognition with Plate Recognizer API on New Scheduled Tasks from Pipedream API

Pipedream + Plate Recognizer

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Run Recognition with Plate Recognizer API on npm Download Counts from npm API

npm + Plate Recognizer

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Details#

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Run Recognition on Plate Recognizer

Description:Triggers a recognition process using the Plate Recognizer SDK.

Version:0.1.0

Key:platerecognizer-run-recognition

View on GitHub

Code#

import { getFileStream } from "@pipedream/platform";
import platerecognizer from "../../platerecognizer.app.mjs";

export default {
  key: "platerecognizer-run-recognition",
  name: "Run Recognition",
  description: "Triggers a recognition process using the Plate Recognizer SDK.",
  version: "0.1.0",
  type: "action",
  props: {
    platerecognizer,
    imageFileOrUrl: {
      type: "string",
      label: "Image Path or URL",
      description: "The image to be recognized. Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/myImage.jpg`)",
    },
    regions: {
      type: "string[]",
      label: "Regions",
      description: "Regions to select specific license plate patterns. [See further details here](https://guides.platerecognizer.com/docs/other/country-codes/#country-codes)",
      optional: true,
    },
    cameraId: {
      type: "string",
      label: "Camera ID",
      description: "The ID of the camera that took the image.",
      optional: true,
    },
    mmc: {
      type: "boolean",
      label: "MMC",
      description: "Whether to detect vehicle make, model, and color.",
      optional: true,
    },
    config: {
      type: "object",
      label: "Config",
      description: "Additional configuration. [See further details here](https://guides.platerecognizer.com/docs/snapshot/api-reference/#engine-configuration)",
      optional: true,
    },
  },
  async run({ $ }) {

    const stream = await getFileStream(this.imageFileOrUrl);
    const chunks = [];
    for await (const chunk of stream) {
      chunks.push(chunk);
    }
    const buffer = Buffer.concat(chunks);

    const response = await this.platerecognizer.runRecognition({
      $,
      data: {
        upload: buffer.toString("base64"),
        regions: this.regions,
        camera_id: this.cameraId,
        mmc: this.mmc,
        config: this.config,
      },
    });

    $.export("$summary", "Recognition process triggered successfully");
    return response;
  },
};

Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Plate Recognizer	`platerecognizer`	`app`	This component uses the Plate Recognizer app.
Image Path or URL	`imageFileOrUrl`	`string`	The image to be recognized. Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/myImage.jpg`)
Regions	`regions`	`string[]`	Regions to select specific license plate patterns. See further details here
Camera ID	`cameraId`	`string`	The ID of the camera that took the image.
MMC	`mmc`	`boolean`	Whether to detect vehicle make, model, and color.
Config	`config`	`object`	Additional configuration. See further details here

Authentication#

Plate Recognizer uses API keys for authentication. When you connect your Plate Recognizer account, Pipedream securely stores the keys so you can easily authenticate to Plate Recognizer APIs in both code and no-code steps.