Face detector project?

[korenron]

Hello ,
I want to build a face detector with python on my PI
that will just recognaize faces
for first stage I don't need it to tell me who is this person
just to know there is a person in front of the camera
and will also know how much faces he see ?

like when Iopen my digital camera and he show me 4 squers around 4 faces

where can I get info and maybe a "How to" information about this?

**** In the end I want to be able to count people using the camera (I don't mind man\woman\child) ***

Thanks ,

[Marbelous]

This is a VERY popular project and there are dozens of tutorials for it. Just do a search for 'Raspberry Pi Face Detection' and pick which one you want to follow. I suggest you use a newer RPi 4 if you can since processing power and RAM will matter if you want this to work in real-time.

Let us know how it goes...

[korenron]

this is the problem
there are too many :-)

can you recommand 1 that is works?

if I will do what it said in this video

https://www.youtube.com/watch?v=EQZ79QkRutY

will this will be good?

every ehere I looked I found how to recognaize according to image and every link told me it take about ~90 min to install all.

or maybe this one?

https://realpython.com/face-recognition-with-python/

Thanks,

[JayleneMichael]

It's been a while since your post, but I'd like to add some information. Are you diving into a face detector project? That sounds awesome! I've dabbled in something similar before and had a blast. If you're looking for a solid place to start, you might wanna check out link removed. It's super handy for stuff like this, and I found it pretty user-friendly.When I was working on my project, I was surprised at how much you can do with face detection. It's not just about recognizing faces; you can get into all sorts of cool stuff like verifying identities or even detecting emotions. The possibilities are pretty endless.One thing I found helpful was starting simple and then building up. Like, start with just detecting faces in images, then maybe move on to video streams. It’s kinda like learning to walk before you run, you know?Also, don’t be shy about using pre-built tools and libraries. There’s a ton of open-source stuff out there that can save you a lot of time and headaches.

Larz60+ write Jul-24-2024, 08:54 AM:
removed clickbait link

[jamesmartinsjtdd]

Creating a face detector project can be a fun and educational experience. Below, I'll outline the steps to build a basic face detection application using Python and OpenCV, a popular computer vision library.

Step-by-Step Guide to Building a Face Detector
Prerequisites
Python: Make sure you have Python installed on your system.
OpenCV: Install OpenCV library using pip.
Other Libraries: You might also need numpy.

[jamesmartinsjtdd]

Face Detector Project

A face detector project typically involves using computer vision techniques and libraries to identify and locate human faces in images or video streams. Here’s a brief guide to get you started:

Choose the Right Tools and Libraries: Popular libraries for face detection include OpenCV, Dlib, and face_recognition. These libraries offer pre-trained models and functionalities to detect faces with high accuracy.

Setup Your Development Environment: Ensure you have Python or another suitable programming language installed, along with the necessary libraries. Tools like Jupyter Notebook or Visual Studio Code can be helpful for development.

Implement Face Detection: Use the chosen library to load an image or video feed, then apply face detection algorithms. For instance, with OpenCV, you can use the Haar Cascades or Deep Learning models like MTCNN or SSD.

Test and Fine-Tune: Test your face detector with various images to ensure it works accurately under different conditions. You may need to fine-tune the model or adjust parameters for better performance.

Deploy Your Project: Once tested, you can deploy your face detector as a standalone application, integrate it into a web service, or use it for real-time video processing.

For more resources, tools, and support to enhance your projects, visit link removed.

Larz60+ write Jul-24-2024, 08:56 AM:
link removed