Python:
import requests from datetime import datetimeurl = "http://192.168.1.100:8081/out.jpg" response = requests.get(url, auth=("username", "password")) # if auth enabled
if response.status_code == 200: timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") with open(f"snapshot_timestamp.jpg", "wb") as f: f.write(response.content)
cURL:
curl -o snapshot.jpg http://192.168.1.100:8081/out.jpg
Node.js:
const axios = require('axios'); const fs = require('fs');
axios.get('http://192.168.1.100:8081/out.jpg', responseType: 'stream' ) .then(response => response.data.pipe(fs.createWriteStream('snapshot.jpg')); );yawcam ip camera new
You don't need a "smart camera." You need a computer (Windows only, though Wine works on Linux/Mac) and a webcam.
Yawcam (Yet Another Webcam) is a lightweight, free webcam software that’s surprisingly capable for an IP camera setup. I tested it as an affordable solution to turn an old USB webcam or simple IP camera into a basic monitoring system. Here’s what stands out: Python : import requests from datetime import datetime
const http = require('http');
const url = 'http://192.168.1.100:8081/out.mjpg'; http.get(url, (res) => res.on('data', (chunk) => // Process binary JPEG frames (parse multipart boundary) console.log(Received chunk size: $chunk.length); // Real implementation: extract JPEGs from multipart data ); );
Tip: Use
mjpeg-consumerormjpeg-proxyNPM packages for easier handling. cURL : curl -o snapshot