Identify if students are loitering
using AI
Below is a free classifier to identify if students are loitering. Just upload your image, and our AI will predict if students are loitering - 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-students-are-loitering", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-students-are-loitering/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-students-are-loitering/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if students are loitering.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Loitering and Not Loitering.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if students are loitering).
Whether you're just curious or building if students are loitering detection into your application, we hope our classifier proves helpful.
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Need to identify if students are loitering at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Campus Security Enhancement: The identifier can be integrated into campus surveillance systems to automatically alert security personnel when students are loitering in unauthorized areas. This proactive approach helps to deter potential incidents and ensures a safer environment for all students.
- Attendance Monitoring: Educational institutions can utilize the loitering identifier to monitor student whereabouts during class hours. If students are detected loitering near classrooms instead of attending classes, faculty can intervene and address attendance issues promptly.
- Behavior Analysis: Schools can use the identifier to gather data on student behaviors during breaks or free periods. Analyzing this data can help administrators develop interventions to encourage more productive activities and reduce potential risky behaviors associated with loitering.
- Drug and Bullying Prevention: By identifying loitering hotspots, schools can implement targeted programs to reduce instances of drug use or bullying. The real-time feedback allows for timely interventions, fostering a more supportive atmosphere for students.
- Resource Allocation: Schools can analyze patterns of loitering to better allocate staff and resources in high-traffic areas. By understanding where students gather, administrators can make informed decisions about supervision and support services.
- Event Planning and Safety: Event organizers can utilize the identifier to monitor crowd behavior during school events. By tracking loitering among attendees, they can address potential safety concerns and ensure that designated areas are being used as intended.
- Parental Notification Systems: The identifier can be linked to communication protocols that notify parents when their children are detected loitering during school hours. This fosters transparency between schools and families, enabling parents to engage early with their children regarding attendance and behavior.