Raspberry Pi camera module openCV object tracking and following self balancing robot

http://roboticssamy.blogspot.pt/

Vision:
Raspberry Pi model B
Raspberry Pi camera module
OpenCV

OpenCV working with Pi camera thanks to this great tutorial:
OpenCV and Pi Camera Board !
Thank you Pierre

Robot setup:
Carbon fiber chassis
2000 mAh 11.1V LiPo battery
PIC24 microcontroller
Murata ENC-03 gyro
MMA7361L accelerometer
NEMA17 step motors
RC 1/8 Buggy wheels

Link to description:

http://letsmakerobots.com/node/38610

source

Facebook’s Caffe2 AI tools go to iPhone, Android, and Raspberry Pi

Your phone may soon be able to determine objects in images free of getting access to the cloud

New intelligence can be included in mobile phones such as the iPhone, Android OS gadgets, and low-power computers including Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 enables you to program artificial intelligence features into tablets and cell phones, enabling them to understand graphics, movie, text, and speech and be more situationally aware.

You ought to remember that Caffe2 isn’t an AI program, but a tool permitting AI to be programmed into cell phones. It requires just a couple of lines of code to write learning models, which can then be bundled into mobile apps.

The release of Caffe2 is important. It implies people will be ready to get image recognition, natural language processing, and computer vision directly on their phone. That work is generally offloaded to remote servers in the cloud, with cell phones then connecting to it.

Mobile products are having more artificial intelligence abilities. More smartphones are being bundled with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for years. Samsung’s Galaxy S8 cell phones are set to get the Bixby voice assistant, which should make operating the handsets incredibly easier.

Caffe2 can function within the power constraints of mobile products. It works with mobile hardware to hasten up AI applications and create neural networks.

Caffe2 employs the computing power of cutting edge mobile hardware to facilitate deep-learning jobs. For instance, in cell phones, Caffe2 will use the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cell chips.

Keep reading at http://pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html

Electronics Lover

Leave a Reply

Your email address will not be published. Required fields are marked *