Real-Time Object Recognition with the Raspberry Pi
Event has EndedAbout this Event
The speed and accuracy of object recognition systems have improved remarkably in the past several years with the advancement of deep convolutional neural networks and associated hardware and software platforms for training and inference. This tech talk will present and walk through the implementation of a real time object recognition system installed on a $35 Raspberry Pi mini-computer, utilizing the standard Pi camera module and an installation of Google's Tensorflow deep learning framework. Similar systems have been built previously by other inventors to predict Caltrain arrivals, automatically classify and sort cucumbers, and enhance robot navigation, all in edge computing contexts.
Type of event
Technology Students Educational Lecture/Seminar MeetupOrganizer
Erik Dreyer
Erik Dreyer is a Machine Learning Engineer and founder of Gradient Intelligence, a Pasadena-based machine learning consulting and development firm. An alumnus of Caltech, Erik is an experienced researcher, problem solver, system designer, and leader, with a diverse background in private and social enterprise.
Location
Cross Campus
87 N Raymond Ave
Pasadena, CA 91103
There are many metered spaces and public parking lots nearby. One block from Memorial Park Metro.
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