Identify human face presence
using AI
Below is a free classifier to identify human face presence. Just upload your image, and our AI will predict whether a human face is present or not - 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("human-face-presence-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/human-face-presence-identifier/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/human-face-presence-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict whether a human face is present or not.
This pretrained image model uses a Nyckel-created dataset and has 28 labels, including Human and Face.
We'll also show a confidence score (the higher the number, the more confident the AI model is around whether a human face is present or not).
Whether you're just curious or building human face presence detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify human face presence at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Social Media Monitoring: Businesses can utilize this function to track and monitor the usage of their products in images shared on social media platforms. By identifying human faces, companies can determine consumer demographics and focus marketing efforts effectively.
- Security Enhancement: A system equipped with 'human face presence' identifier can provide additional security measures in sensitive areas, alerting personnel when unexpected human presence is detected.
- Audience Analytics for Digital Signage: Businesses can use this technology to tailor digital signage content based on the audience. It can identify human faces, analyze viewer demographics and alter displayed content to suit the viewer.
- Health Sector Applications: In pandemic situations, this function can be utilized to ensure individuals are adhering to face mask regulations in public places, hospitals, or clinics by distinguishing between masked and unmasked faces.
- Retail Store Optimization: The technology can be used to recognize the presence of customers in different areas of the store, allowing retailers to optimize product placements and improve customer experiences.
- Automated Photo Editing: Software companies can enhance their image or video editing softwares by incorporating this function. It can assist in automated editing processes, such as focus adjustment or blur applications, based on the presence and position of faces.
- User Experience Personalization: Businesses can use this function in devices or apps for personalized engagement. For example, a device that adjusts its settings/preferences based on who it recognizes, enhancing customer satisfaction and usability.