Identify if vending machine is on
using AI
Below is a free classifier to identify if vending machine is on. Just upload your image, and our AI will predict if the vending machine is on - 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("if-vending-machine-is-on", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-vending-machine-is-on/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-vending-machine-is-on/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the vending machine is on.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Vending Machine Off and Vending Machine On.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the vending machine is on).
Whether you're just curious or building if vending machine is on detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if vending machine is on at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Inventory Management: Retailers can leverage the "is vending machine on" identifier to monitor machine status in real-time. This allows for optimized inventory management, ensuring that products are refreshed only when machines are operational and avoiding unnecessary trips.
- Energy Efficiency Audits: Companies can conduct energy consumption audits by using the identifier to track when vending machines are powered on or off. This data can be used to implement energy-saving strategies, leading to reduced operational costs and a smaller carbon footprint.
- Maintenance Scheduling: By identifying whether a vending machine is on, maintenance teams can schedule checks and repairs during off-hours. This proactive approach minimizes downtime and enhances the customer experience by ensuring machines are always stocked and functional.
- Remote Monitoring: Operators can implement remote monitoring systems that utilize the identifier to check machine status from a centralized location. This capability allows for immediate responses to malfunctions and improves the overall management of vending machine fleets.
- Sales Performance Analysis: Businesses can analyze the correlation between machine activity and sales metrics by using the identifier. Understanding when machines are on and off helps in making data-driven decisions regarding product placement, pricing strategies, and promotional campaigns.
- User Experience Improvement: By knowing when vending machines are operational, companies can enhance the user experience by providing real-time availability updates through mobile apps. This feature informs customers about which machines are ready for use, reducing frustration and improving satisfaction.
- Theft and Vandalism Prevention: The identifier can be integrated with security systems to alert operators when a machine is unexpectedly turned off. This information can help in identifying potential theft or vandalism incidents, allowing for swift action to be taken to secure the assets.