Identify are there students in the hallway
using AI
Below is a free classifier to identify are there students in the hallway. Just upload your image, and our AI will predict if there are students in the hallway - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("are-there-students-in-the-hallway", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/are-there-students-in-the-hallway/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/are-there-students-in-the-hallway/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if there are students in the hallway.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Students Present and No Students.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if there are students in the hallway).
Whether you're just curious or building are there students in the hallway detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify are there students in the hallway at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Campus Security Monitoring: This use case involves deploying the image classification function to enhance campus security. By analyzing hallway imagery in real-time, the system can identify unauthorized individuals or large gatherings of students that might pose safety risks, alerting security personnel quickly.
- Classroom Attendance Management: Educational institutions can utilize the function to automate attendance taking in hallways. By verifying the presence of students during class change times, administrators can accurately track student movement and attendance patterns.
- Traffic Flow Analysis: Schools can use the classification function to analyze hallway congestion during peak times. This data can assist in redesigning hallways or scheduling class changes to optimize the flow of students, thereby reducing overcrowding.
- Social Distancing Enforcement: In post-pandemic scenarios, the function can help enforce social distancing rules. By monitoring hallways, administrators can gain insights into student interactions and ensure that appropriate distancing measures are being respected during school hours.
- Emergency Evacuation Management: During emergencies, identifying the number of students present in hallways can be crucial for efficient evacuation procedures. The classification system can help emergency personnel ensure that all students are accounted for, facilitating swift action.
- Resource Allocation for Supervision: Schools can assess when and where students are most likely to be present in hallways, allowing for better allocation of supervision resources. By identifying trends in student movement, school administrators can decide when and where to deploy staff efficiently.
- Engagement and Activity Monitoring: Educators can utilize the function to monitor student engagement in hallways during breaks. This information can be used to devise strategies aimed at enhancing student interaction and promoting positive social behaviors within the school environment.