Run Recognition with Plate Recognizer API on New Team from Microsoft Teams API

Pipedream makes it easy to connect APIs for Plate Recognizer, Microsoft Teams and 2,400+ other apps remarkably fast.

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New Team from the Microsoft Teams API

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Run Recognition with the Plate Recognizer API

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Getting Started#

This integration creates a workflow with a Microsoft Teams trigger and Plate Recognizer action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Team trigger
1. Connect your Microsoft Teams account
2. Configure Polling interval
Configure the Run Recognition action
1. Connect your Plate Recognizer account
2. Configure Image File or URL
3. Optional- Configure Regions
4. Optional- Configure Camera ID
5. Optional- Configure MMC
6. Optional- Configure Config
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are 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.

Trigger#

New Team on Microsoft Teams

Description:Emit new event when a new team is joined by the authenticated user

Version:0.0.7

Key:microsoft_teams-new-team

View on GitHub

Microsoft Teams Overview#

The Microsoft Teams API on Pipedream allows you to automate tasks, streamline communication, and integrate with other services to enhance the functionality of Teams as a collaboration hub. With this API, you can send messages to channels, orchestrate complex workflows based on Teams events, and manage Teams' settings programmatically.

Trigger Code#

import base from "../common/base.mjs";

export default {
  ...base,
  key: "microsoft_teams-new-team",
  name: "New Team",
  description: "Emit new event when a new team is joined by the authenticated user",
  version: "0.0.7",
  type: "source",
  dedupe: "unique",
  methods: {
    ...base.methods,
    async getResources(lastCreated) {
      return this.getNewPaginatedResources(
        this.microsoftTeams.listTeams,
        {},
        lastCreated,
      );
    },
    generateMeta(team) {
      return {
        id: team.id,
        summary: team.displayName,
        ts: Date.now(),
      };
    },
  },
};

Trigger 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
Microsoft Teams	`microsoftTeams`	`app`	This component uses the Microsoft Teams app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling interval	`timer`	`$.interface.timer`	Pipedream will poll the YouTube API on this schedule

Trigger Authentication#

Microsoft Teams uses OAuth authentication. When you connect your Microsoft Teams account, Pipedream will open a popup window where you can sign into Microsoft Teams and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Microsoft Teams API.

Pipedream requests the following authorization scopes when you connect your account:

User.Reademailoffline_accessopenidprofileChat.ReadChat.ReadWriteChatMessage.SendChannel.ReadBasic.AllChannelMessage.SendTeam.ReadBasic.AllSchedule.Read.All

About Microsoft Teams#

Microsoft Teams has communities, events, chats, channels, meetings, storage, tasks, and calendars in one place.

Action#

Run Recognition on Plate Recognizer

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

Version:0.0.1

Key:platerecognizer-run-recognition

View on GitHub

Plate Recognizer Overview#

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.

Action Code#

import fs from "fs";
import { checkTmp } from "../../common/utils.mjs";
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: "0.0.1",
  type: "action",
  props: {
    platerecognizer,
    imageFileOrUrl: {
      type: "string",
      label: "Image File or URL",
      description: "The image file or URL to be recognized.",
    },
    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 fileObj = {};

    if (this.imageFileOrUrl.startsWith("http")) {
      fileObj.upload_url = this.imageFileOrUrl;
    } else {
      const file = fs.readFileSync(checkTmp(this.imageFileOrUrl));
      fileObj.upload = Buffer(file).toString("base64");
    }

    const response = await this.platerecognizer.runRecognition({
      $,
      data: {
        ...fileObj,
        regions: this.regions,
        camera_id: this.cameraId,
        mmc: this.mmc,
        config: this.config,
      },
    });

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

Action Configuration#

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

Label	Prop	Type	Description
Plate Recognizer	`platerecognizer`	`app`	This component uses the Plate Recognizer app.
Image File or URL	`imageFileOrUrl`	`string`	The image file or URL to be recognized.
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

Run Recognition with Plate Recognizer API on New Team from Microsoft Teams API

Pipedream makes it easy to connect APIs for Plate Recognizer, Microsoft Teams and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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