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Profile
Course background:
Currently, many commercial products based on the visual capabilities of Raspberry Pi have appeared on the market, and the core of these products is the collection and subsequent processing of images/videos. Therefore, through the development of Raspberry Pi With some camera applications, we can lay the foundation for further implementation of complex Raspberry Pi vision systems.
Core content:
1. Use OpenCV/V4L2 to control the camera to collect images/videos on the Raspberry Pi
2. Use OpenCV to perform motion detection on the Raspberry Pi
3. Use the Face++ cloud service to perform facial recognition on the Raspberry Pi Face Recognition
4. Use OpenCV and Face++ cloud services for real-time face recognition on Raspberry Pi
Software environment: Arch Linux ARM
Course level: Elementary
Suitable for people: those
who have basic knowledge of Linux and are interested in geek toys people
Chapters
Chapter 1：1 Use Raspberry Pi to control the camera to collect images (15 minutes and 9 seconds)
Chapter 2：2 Use Raspberry Pi to control the camera to collect video and motion detection (8 minutes and 42 seconds)
Chapter 3：3 Use Raspberry Pi for face recognition (12 minutes and 38 seconds)
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