Identify refrigerator conditions
using AI
Below is a free classifier to identify refrigerator conditions. Just upload your image, and our AI will predict the condition of your refrigerator. - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("refrigerator-conditions", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/refrigerator-conditions/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/refrigerator-conditions/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the condition of your refrigerator..
This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Broken, Clean, Dirty, Empty, Excellent Condition, Fair Condition, Frosty, Full, Good Condition and In Use.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the condition of your refrigerator.).
Whether you're just curious or building refrigerator conditions detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify refrigerator conditions at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Food Safety Monitoring: The refrigerator conditions identifier can monitor the temperature and humidity levels within refrigerators, ensuring they remain within safe limits. By providing real-time alerts for any deviations, businesses can prevent spoilage of perishable items, reduce food waste, and maintain compliance with health regulations.
- Inventory Management Optimization: Retailers can utilize the identifier to track how long products are stored at optimal temperatures. This information can inform restocking schedules and sales strategies, helping to improve inventory turnover and reduce losses associated with expired or spoiled products.
- Energy Efficiency Improvement: The system can analyze operating conditions and suggest optimal settings for refrigeration units. By identifying inefficiencies, businesses can reduce energy costs and lower their environmental impact, ultimately leading to cost savings and a greener operation.
- Automated Compliance Reporting: Food-related businesses can automate compliance documentation by using the refrigerator conditions identifier to log temperature and humidity data over time. This feature makes it easier for businesses to prepare for inspections and demonstrates adherence to safety standards.
- Quality Assurance in Food Production: Food manufacturers can implement the identifier to ensure the storage conditions of ingredients are consistently perfect. This level of monitoring helps maintain ingredient quality, which can result in better final product quality and customer satisfaction.
- Remote Monitoring for Delivery Services: Delivery and logistics companies can use the identifier to monitor the conditions of refrigerated transport during transit. Real-time alerts can ensure that food products remain safe throughout delivery, enhancing reliability and customer trust.
- Smart Kitchen Integration: The identifier can be integrated into smart home systems to enable users to receive notifications if their refrigerator is outside the ideal conditions. This information empowers consumers to take quick actions, helping them keep their food fresh longer and reducing waste.