with Bitdefender GravityZone and Plate Recognizer?
Emit new event when a new endpoint is registered in Bitdefender GravityZone.
Emit new event when a new Root Cause Analysis (RCA) is displayed under the Incidents section of Control Center.
Emit new event when a potentially dangerous application is detected and blocked on an endpoint
Retrieve details about a specific policy. See the documentation
Triggers a recognition process using the Plate Recognizer SDK.
Get the status of a scan task. [See the documentation(https://www.bitdefender.com/business/support/en/77209-440638-gettaskstatus.html)
Move an endpoint to a different group. See the documentation
Trigger a scan on a specific endpoint. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bitdefender_gravityzone: {
type: "app",
app: "bitdefender_gravityzone",
}
},
async run({steps, $}) {
const data = {
"id": "120000",
"jsonrpc": "2.0",
"method": "getAccountDetails",
"params": {}
}
return await axios($, {
method: "POST",
url: `${this.bitdefender_gravityzone.$auth.api_url}/v1.0/jsonrpc/accounts`,
headers: {
"content-type": `application/json`,
},
auth: {
username: `${this.bitdefender_gravityzone.$auth.api_key}`,
password: ``,
},
data,
})
},
})
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.
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,
})
},
})