Identify tobacco product packaging
using AI
Below is a free classifier to identify tobacco product packaging. Just upload your image, and our AI will predict what type of tobacco product it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("tobacco-product-packaging", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/tobacco-product-packaging/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/tobacco-product-packaging/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of tobacco product it is.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Blister Pack, Carton, Child-Resistant Packaging, Cigar Box, Eco-Friendly Package, Foil Pack, Hard Pack, Individual Cigarette Pack, Limited Edition Packaging and Master Carton.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of tobacco product it is).
Whether you're just curious or building tobacco product packaging detection into your application, we hope our classifier proves helpful.
Need to identify tobacco product packaging at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Compliance Monitoring: This function can assist regulatory agencies in monitoring tobacco product packaging to ensure compliance with health warnings and labeling requirements. By automating the identification of packaging, agencies can streamline inspections and enforce regulations more effectively.
- Brand Protection: Tobacco companies can use this technology to track and identify counterfeit packaging. By swiftly detecting signs of imitation, brands can take appropriate legal action, preserving their market presence and protecting consumers.
- Marketing Analysis: Retailers and manufacturers can analyze the packaging of tobacco products available in the market, gaining insights into competitors’ branding strategies. This data can be utilized to enhance their own marketing efforts and product presentations effectively.
- Supply Chain Management: By integrating this function, manufacturers can monitor the packaging used in their supply chains to ensure consistency and quality control. This real-time identification can help identify discrepancies quickly, reducing delays and wastage.
- Consumer Research: Researchers can use the function to collect data on consumer preferences regarding tobacco packaging styles and designs. This information can inform product development and marketing strategies tailored to consumer behavior and preferences.
- Environmental Compliance: Companies can leverage the image classification function to identify sustainable packaging materials in tobacco product packaging. This helps in ensuring that their packaging aligns with environmental regulations and meets consumer demand for eco-friendly products.
- Product Recall Management: In the event of a product recall, this technology can help identify and segregate affected packaging quickly. This increases the efficiency of the recall process, ensuring that potentially harmful products are removed from shelves promptly, protecting consumers.