As a good example of edge computing, check out this new tutorial about live object detection with depth estimation thanks to stereo vision with a Raspberry Pi Compute Module.
Object detection with depth estimation
Tag: Deep Learning
New AI module for UV4L. An example of real-time video tracking working “out-of-the-box”.
As announced in the previous post, a new raspicam driver that adds some AI to UV4L has been released!
Here is a tutorial about how to quickly configure UV4L to make a robot doing real-time object detection, tracking by controlling pan/tilt servos and streaming over the web with WebRTC at the same time.
Below is another example of live object detection where bounding boxes, labels and confidence scores are overlaid real-time on the high-resolution video (tracking has been disabled in this case).
UV4L used in Computer Vision!
webrtcH4cKS has recently posted a very interesting article about a computer vision project that makes use of UV4L for real-time streaming of video and data over WebRTC from a Raspberry Pi Zero connected to a AIY Vision board. The board embeds a Vision Processing Unit (VPU) chip that runs Tensor Flow image processing graphs super efficiently.
The article is divided in two parts: