Identify if people are unloading a truck
using AI
Below is a free classifier to identify if people are unloading a truck. Just upload your image, and our AI will predict if people are unloading a truck - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-people-are-unloading-a-truck", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-people-are-unloading-a-truck/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-truck/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if people are unloading a truck.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including No People Unloading and People Unloading.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if people are unloading a truck).
Whether you're just curious or building if people are unloading a truck detection into your application, we hope our classifier proves helpful.
Need to identify if people are unloading a truck at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Supply Chain Optimization: This function can enhance logistics operations by identifying when unloading activities are occurring at various locations. By monitoring unloading times and patterns, companies can streamline their supply chain processes, reducing idle time and improving delivery schedules.
- Warehouse Operations Management: Businesses can utilize this technology to monitor warehouse unloading activities, ensuring that goods are processed efficiently upon arrival. By tracking the unloading process, managers can allocate resources better and minimize bottlenecks in inventory management.
- Safety Compliance Monitoring: This function can be integrated into workplace safety systems to ensure proper unloading procedures are followed. By analyzing unloading events, companies can identify potential hazards or unsafe practices, enabling proactive safety training and compliance measures.
- Real-time Inventory Tracking: Retailers can employ this identification function for real-time updates on inventory levels as items are removed from delivery trucks. This immediate visibility allows for better stock management and reduces the risk of stockouts or excess inventory.
- Automated Reporting Systems: Organizations can implement this classification function to generate reports on unloading activities without manual input. This automation can significantly enhance operational efficiency by providing accurate data for performance assessments and operational reviews.
- Delivery Performance Analysis: By identifying when unloading occurs, businesses can evaluate the performance of their delivery fleets. Insights gained can lead to better route planning, driver allocation, and overall improvements in delivery efficiency.
- Customer Service Enhancement: This identification function can be applied in customer service scenarios where delivery times are critical. By accurately determining unloading times, companies can provide real-time updates to customers about the status of their orders, enhancing customer satisfaction and trust.