Face Detection App using python
Abstract :
Face detection is a computer vision technology that helps to locate/visualize human faces in digital images. This technique is a specific use case of object detection technology that deals with detecting instances of semantic objects of a certain class (such as humans, buildings or cars) in digital images and videos. With the advent of technology, face detection has gained a lot of importance especially in fields like photography, security, and marketing .In today’s fast-paced world, capturing the perfect moment has become easier with the help of face detection applications. The proposed system provide innovative tools have revolutionized the way we interact with our devices and utilize facial recognition technology to enhance our daily lives. Face Detection App using python
Face Detection App
Face Detection App using python
Software Requirements: –
- Operating System : Windows OS
- Front End : Streamlit HTML ,Python 3.10
- Back-End : Python 3.10 ,
- Tool : Miniconda3-latest-Windows-x86_64, Python 3.10
Hardware Requirements: –
- System : Dual Core
- Hard Disk : 40 GB
- Monitor : 15 VGA Colour
- Mouse : Logitech
- RAM : 2 GB
System Modules:
- Use the Haar-Cascade Frontalface Xml File Contain a pre-trained model to get detects objects based upon its features.
- Read the capture of video frame by frame.
- Convert the frame to GrayScale
- Draw a rectangle around the faces
- Display the resulting frame
- Display the resulting frame
- When everything is done, release the capture