Identify if people are unloading a barge
using AI
Below is a free classifier to identify if people are unloading a barge. Just upload your image, and our AI will predict if people are unloading a barge - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-people-are-unloading-a-barge", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-people-are-unloading-a-barge/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/if-people-are-unloading-a-barge/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if people are unloading a barge.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including People Not Unloading Barge and People Unloading Barge.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if people are unloading a barge).
Whether you're just curious or building if people are unloading a barge detection into your application, we hope our classifier proves helpful.
Need to identify if people are unloading a barge at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Cargo Operations Monitoring: The image classification function can be employed in ports to monitor the unloading of barges. This enables real-time tracking of cargo operations, allowing for better resource allocation and minimizing downtime.
- Safety Compliance Verification: By identifying when people are unloading a barge, the system can help ensure that safety protocols are being followed. It can trigger alerts if workers are not using safety gear, thereby reducing the risk of accidents.
- Automated Reporting for Logistics: The function can automate the documentation process by providing reports based on the unloading activities observed. This can enhance the efficiency of logistics management by ensuring accurate records without manual oversight.
- Workforce Efficiency Analysis: Companies can use the image classification to analyze the efficiency of their workforce during barge unloading. This data can help identify bottlenecks and optimize labor deployment based on historical performance insights.
- Environmental Impact Monitoring: When a barge is being unloaded, the function can help monitor potential environmental hazards, such as spills or damages. This data can be crucial for regulatory compliance and ensuring sustainable operations.
- Inventory Management Optimization: By tracking the unloading process, this function can provide insights into cargo flows and inventory changes. This helps in optimizing stock levels and improving overall inventory management efficiency.
- Training and Development Programs: The insights gained from the analysis of unloading activities can be utilized for developing training programs. By reviewing footage and data, companies can better train their staff on best practices and procedures for efficient barge unloading.