Next, we’re going to touch on using OpenCV with the Raspberry Pi’s camera, giving our robot the gift of sight. There are many steps involved to this process, so there’s a lot that is about to be thrown your way. If at any point you’re stuck/lost/whatever, feel free to ask questions on the video and I will try to help where possible. There are a lot of moving parts here. If all else fails, I have hosted my Raspberry Pi image: https://drive.google.com/file/d/0B11p78NlrG-vZzdJLWYxcU5iMXM/view?usp=sharing
OpenCV stands for Open Computer Vision, and it is an open source computer vision and machine learning library. To start, you will need to get OpenCV on to your Raspberry Pi.
Keep in mind, the “make” part of this tutorial will take 9-10 hours on a Raspberry Pi Model B+. The Raspberry Pi 2 will do it in more like 2-4 hours. Either way, it will take a while. I just did it overnight one night.
Text-based version and sample code: http://pythonprogramming.net/raspberry-pi-camera-opencv-face-detection-tutorial/
Facebook’s Caffe2 AI tools go to iPhone, Android, as well as Raspberry Pi
Your phone may soon have the ability to acknowledge objects in pictures devoid of gaining access to the cloud
New intelligence can be included in cellular devices like the iPhone, Android products, and low-power computer systems including Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.
Caffe2 can be used to program artificial intelligence features into tablets and smart phones, allowing them to understand images, video clip, text, and speech and be more situationally aware.
You ought to note that Caffe2 isn’t an Artificial intelligence program, but a tool allowing for AI to be programmed into mobile phones. It takes just a couple lines of code to write learning models, which could then be bundled into mobile apps.
The release of Caffe2 is significant. It signifies people will be able to get image identification, natural language processing, and computer vision right on their phone. That process is typically offloaded to remote servers in the cloud, with mobile phones then connecting to it.
Mobile products are having more and more artificial intelligence functions. More mobile phones are being included with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for many years. Samsung’s Galaxy S8 mobile phones are due to get the Bixby voice assistant, which ought to make operating the devices far easier.
Caffe2 can function within the power constraints of mobile products. It works with mobile hardware to hasten up AI apps and create neural networks.
Caffe2 employs the computing power of cutting edge mobile hardware to boost deep-learning tasks. To illustrate, in mobile phones, Caffe2 will take advantage of the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon mobile chips.
Keep reading at http://pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html