Identify package count
using AI
Below is a free classifier to identify package count. Just upload your image, and our AI will predict the quantity of packages in each category - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("package-count", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/package-count/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/package-count/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the quantity of packages in each category.
This pretrained image model uses a Nyckel-created dataset and has 9 labels, including 1, 10-20, 101-200, 2-5, 201-500, 21-50, 501+, 51-100 and 6-9.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the quantity of packages in each category).
Whether you're just curious or building package count detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify package count at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Inventory Management: Utilize the package count feature to automatically detect the number of items within a shipment. This allows businesses to maintain accurate inventory records and reduce human error during manual counting processes.
- Automated Quality Control: Implement the function in quality control processes to classify and count packaged products on production lines. This ensures compliance with packaging standards and helps quickly identify any discrepancies in package counts.
- E-commerce Fulfillment: Integrate the image classification into e-commerce fulfillment systems to verify package counts before shipping. This minimizes the risk of customer complaints due to incorrect order fulfillment and enhances overall customer satisfaction.
- Shipping and Logistics Optimization: Employ the package count identifier in shipping and logistics operations to track the number of packages in transit. This data can optimize route planning and improve efficiency in delivery schedules.
- Waste Reduction in Packaging: Use image classification to analyze packaging materials and their counts. Businesses can identify over-packaged shipments, leading to sustainability initiatives that reduce waste and improve their eco-footprint.
- Fraud Detection in Returns: Apply the package counting feature when processing returns to ensure that the number of items returned matches the customer's claim. This helps mitigate return fraud and maintain accurate inventory levels.
- Supply Chain Transparency: Leverage the classification function to provide real-time insights into package counts across the supply chain. This transparency aids in proactive decision-making, enhancing collaboration among stakeholders and improving overall supply chain efficiency.