Integrate the Plate Recognizer API with the MongoDB API

Setup the Plate Recognizer API trigger to run a workflow which integrates with the MongoDB API. Pipedream's integration platform allows you to integrate Plate Recognizer and MongoDB remarkably fast. Free for developers.

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Popular Ways to Connect Plate Recognizer with MongoDB#

Run Recognition with Plate Recognizer API on New Collection from MongoDB API

MongoDB + Plate Recognizer

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Run Recognition with Plate Recognizer API on New Database from MongoDB API

MongoDB + Plate Recognizer

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Run Recognition with Plate Recognizer API on New Document from MongoDB API

MongoDB + Plate Recognizer

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Run Recognition with Plate Recognizer API on New Field in Document from MongoDB API

MongoDB + Plate Recognizer

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Popular Plate Recognizer and MongoDB Triggers#

New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

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New Database from the MongoDB API

Emit new an event when a new database is added

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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

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New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

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Popular Plate Recognizer and MongoDB Actions#

Run Recognition with the Plate Recognizer API

Triggers a recognition process using the Plate Recognizer SDK.

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Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

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Find Document with the MongoDB API

Finds a document by a query filter. See the documentation

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Overview of Plate Recognizer#

The Plate Recognizer API provides robust tools for converting images of vehicle license plates into text data. Using Pipedream, you can harness this capability to automate various tasks involving vehicle identification and monitoring. This integration is particularly useful in scenarios involving security, parking management, and logistics optimization, where automated plate recognition can streamline operations significantly.

Connect Plate Recognizer#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    platerecognizer: {
      type: "app",
      app: "platerecognizer",
    }
  },
  async run({steps, $}) {
    const data = {
      "upload_url": `https://app.platerecognizer.com/static/demo.jpg`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.platerecognizer.com/v1/plate-reader/`,
      headers: {
        "Authorization": `Token ${this.platerecognizer.$auth.api_token}`,
      },
      data,
    })
  },
})

Overview of MongoDB#

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB#

import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})

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