Identify how many cigarettes are left in pack
using AI
Below is a free classifier to identify how many cigarettes are left in pack. Just upload your image, and our AI will predict how many cigarettes are left in the pack - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("how-many-cigarettes-are-left-in-pack", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/how-many-cigarettes-are-left-in-pack/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/how-many-cigarettes-are-left-in-pack/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict how many cigarettes are left in the pack.
This pretrained image model uses a Nyckel-created dataset and has 51 labels, including 0, 1, 10, 11, 12, 13, 14, 15, 16 and 17.
We'll also show a confidence score (the higher the number, the more confident the AI model is around how many cigarettes are left in the pack).
Whether you're just curious or building how many cigarettes are left in pack detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify how many cigarettes are left in pack at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Inventory Management: This function can help retailers automatically track the number of cigarettes left in a pack, minimizing the need for manual checks. By integrating this feature into inventory management systems, stores can ensure timely reordering and reduce the likelihood of stockouts.
- Customer Insights: Cigarette manufacturers can utilize this function to analyze consumer behavior by monitoring how many cigarettes are typically left in packs after purchase. This data can provide insights into consumption patterns, informing marketing strategies and promotional offers.
- Waste Reduction: By identifying the remaining cigarettes in packs, this function can assist retailers in managing expiration dates and minimizing waste. Knowing how many cigarettes remain allows for better planning to promote bundles or discounts on soon-to-expire products.
- Loyalty Programs: Retailers can enhance their loyalty programs by using the identifier to track customer purchase behavior, linking rewards to the number of cigarettes consumed. This approach encourages repeat purchases and fosters customer engagement through personalized offers.
- Automated Checkout Systems: Integrating this function into automated kiosks or checkout systems can streamline the self-checkout process for tobacco products. Customers can easily confirm their selections by simply scanning the pack, making the purchasing process faster and more efficient.
- Compliance Monitoring: Regulatory bodies can use the cigarette count identifier in surveillance systems to monitor legal smoking limits in various locations. This ensures that businesses adhere to laws concerning cigarette sales and consumption, aiding in public health initiatives.
- Product Development: Tobacco companies can leverage insights gained from this function to innovate new packaging designs or size variations based on consumption data. Understanding how many cigarettes are typically left after use can drive the creation of products that better meet consumer needs.