PPT-Group 33 – Image Processing Based Lego Sorter
Author : jane-oiler | Published Date : 2016-12-23
Nike Adeyemi CpE David Carey CpE Katrina Little EE Nick Steinman EE Project GoalsSpecifications Why a Lego sorter Specific Objectives Minimal user dependency
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Group 33 – Image Processing Based Lego Sorter: Transcript
Nike Adeyemi CpE David Carey CpE Katrina Little EE Nick Steinman EE Project GoalsSpecifications Why a Lego sorter Specific Objectives Minimal user dependency Speed vs Accuracy. Pumice Depth Below . Water . as a Function of Time. Behnaz. Hosseini. Havre, MESH . and Pumice Experiments. P. umice deposits from 2012 . Kermadec. Islands submarine eruption north of New Zealand. Havre caldera samples collected by MESH team using remotely operated vehicle Jason. 1. Image. Rich info. from visual data. Examples of images around us. natural photographic images; . . artistic and engineering drawings. scientific images (satellite, medical, etc.). “Motion pictures” => video. Allen F.. 9 years old. Mississippi, USA. Step 1 think it!. The problem I want to solve is there is no easy way to pick up and put away my lego pieces.. Step 2-Explore It!. The Lego Brick Shifter sorts bricks by size. Lego Head Sorter does the same thing. There are many things close to what I have I invented . . Nike . Adeyemi. (. CpE. ). David Carey (. CpE. ). Katrina Little (EE). Nick Steinman (EE). Project Goals/Specifications. Why a Lego sorter?. Specific Objectives. Minimal user dependency. Speed vs. Accuracy. Agenda. Defining Digital Leadership. LEGO Group Background. Digitalization at the LEGO Group. LEGO’s Journey Toward Digital Leadership. Lessons for Digital Leadership . Defining Digital Leadership. Mohammadhossein . Behgam. Agenda. Need for parallelism. Challenges. Image processing algorithms. Data handling & Load Balancing. Communication cost & performance. What is the problem?. Image Processing applications can be very computationally demanding due to:. Memristive. Architecture.. . Under the Leadership and Guidance of . Dr. . Marek. A . Perkowski. . ECE 590 . . By, . . Divya Spandana . Marneni. Agenda. What is Big Data. Big Data and image processing. Why to analyze big images. Complexity involved in processing. Hadoop Image processing framework. Image Retrieval in big data. At the LEGO Group, children are our role models, due to their hands-on, minds-on approach to learning. This belief is drawn from the LEGO Idea Paper which forms the foundation for all LEGO brand entit This is a chapter that I wrote for the book LEGO Studies, edited by Mark Wolf (2014). You can reference this article as: Gauntlett, David (2014), 1 INTRODUCTIONImage processing is the frequently used technique in vast areas like medical image astronomical data analysisand so on The collection of images is increased to petabytes in last few Recognition Vol.7, No. 2 (2014), pp. 3 89 - 3 9 8 http://dx.d oi.org/10.14257/ijsip.2014.7. 2 . 3 6 ISSN: 2005 - 4254 IJSIP Copyright ⓒ 201 4 SERSC Extraction of Optic Cup in Retinal Fundus image Fig. 1 The placement of the bipolar leads en-US/Lan;g 00;/Lan;g 00; en-US/Lan;g 00;/Lan;g 00;In 1906 Einthoven [8] invented a new dimension by introducing the
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