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Product Recognition

Learn how to build a product recognition system using vfrog.ai.

Use Case​

Automatically identify and classify products in images for:

  • Retail inventory management
  • E-commerce product cataloging
  • Point-of-sale systems
  • Smart shopping carts

Implementation​

import requests
import os

API_KEY = os.environ.get('VFROG_API_KEY')

def recognize_product(image_url, product_id):
    """Recognize product in an image"""
    response = requests.post(
        "https://api.vfrog.ai/v1/cv/requests/sync",
        headers={
            "x-api-key": API_KEY,
            "Content-Type": "application/json"
        },
        json={
            "external_id": f"product-{product_id}",
            "image_url": image_url
        },
        timeout=30
    )

    if response.status_code == 200:
        result = response.json()
        if result['status'] == 'DONE':
            return result['results']

    return None

# Usage
products = recognize_product(
    "https://example.com/shelf-photo.jpg",
    "shelf-001"
)

for product in products:
    print(f"Product: {product['class_name']}")
    print(f"Confidence: {product['confidence']:.2%}")
    print(f"Location: {product['bounding_box']}")