Identify if dock workers have safety equipment on
using AI
Below is a free classifier to identify if dock workers have safety equipment on. Just upload your image, and our AI will predict if dock workers have safety equipment on - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-dock-workers-have-safety-equipment-on", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-dock-workers-have-safety-equipment-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-dock-workers-have-safety-equipment-on/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if dock workers have safety equipment on.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Not Wearing Safety Equipment and Wearing Safety Equipment.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if dock workers have safety equipment on).
Whether you're just curious or building if dock workers have safety equipment on detection into your application, we hope our classifier proves helpful.
Need to identify if dock workers have safety equipment on at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Safety Compliance Monitoring: This use case involves using the image classification function to automatically monitor dock workers for compliance with safety equipment regulations. It can ensure that all workers are wearing the necessary gear, such as helmets, gloves, and vests, reducing the risk of workplace injuries and enhancing safety audits.
- Real-Time Incident Reporting: In the event of an incident at the dock, this technology can quickly identify whether safety equipment was worn by the involved workers. This data streamlines incident reporting and provides essential insights during investigations, helping to determine liability and improve safety protocols.
- Training Program Assessment: By analyzing images of dock workers, businesses can assess the effectiveness of their safety training programs. The findings can help identify gaps in knowledge or compliance, enabling managers to implement targeted training sessions to improve safety practices.
- Insurance Compliance Verification: Companies can utilize the image classification function to provide verifiable evidence of safety compliance to insurance providers. This capability may lead to better insurance premiums as it demonstrates proactive safety measures and adherence to industry standards.
- Operational Efficiency Improvement: By ensuring that all dock workers consistently wear safety equipment, businesses can minimize downtime caused by workplace accidents. The system can help optimize operations by fostering a safer working environment, which in turn can enhance productivity levels.
- Employee Accountability Tracking: The use case involves tracking individual dock workers’ adherence to safety equipment policies over time. Documenting compliance not only promotes accountability among employees but can also form the basis for rewards or disciplinary action based on safety performance metrics.
- Regulatory Reporting Automation: Companies can automate the generation of compliance reports required by regulatory bodies by leveraging the image classification data. This streamlining of documentation can save time and resources while ensuring that all safety compliance requirements are met efficiently.