What do you want to automate
with Telegram and Plate Recognizer?
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Popular Ways to Connect Telegram with Plate Recognizer#
Popular Telegram and Plate Recognizer Triggers#
Emit new event each time a Telegram Bot command is received.
Emit new event each time a channel post is created or updated.
Emit new event each time a Telegram message is created or updated.
Popular Telegram and Plate Recognizer Actions#
Create an additional invite link for a chat, See the docs for more information
Triggers a recognition process using the Plate Recognizer SDK.
Edits photo or video messages. See the docs for more information
Edits text or game messages. See the docs for more information
Overview of Telegram#
The Telegram Bot API allows you to build bots that can interact with users on the Telegram platform. Using Pipedream, you can automate messaging, handle commands, and trigger actions based on conversations or alerts. Pipedream's serverless execution model enables you to create complex workflows involving Telegram messages without managing any infrastructure. With Pipedream's integration, you can process inbound messages, send outbound notifications, and connect the Telegram Bot API with numerous other services to create powerful automation solutions.
Connect Telegram#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
telegram_bot_api: {
type: "app",
app: "telegram_bot_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.telegram.org/bot${this.telegram_bot_api.$auth.token}/getMe`,
})
},
})
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,
})
},
})
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