Networked Object Motion Tracker

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Presentation transcript:

Networked Object Motion Tracker Sponsor: Dr. Kevin Kemp, NXP Faculty Advisor: Dr. Bill Stapleton End Device / Router Eligible Thread Router Border Router / Leader Thread Link E2.1: [NOMoT] Networked Object Motion Tracker

Topics Overview Design Approach Results Future Work E2.1: [NOMoT] Networked Object Motion Tracker

Project Motivation The problem: To further research Thread Network A need for a TWP node to track change & position over time Why is this important? One important thing of the IoT is security As more & more chipsets are added cost increases Thread Network research will assure M2M/IoT is: Micro Sturdy Robust Long-life E2.1: [NOMoT] Networked Object Motion Tracker

Project Overview Design and implement a network node motion tracker Implement using: NXP sensor fusion Proximetry NXP hardware Device is to relay data to the proximetry cloud agent NXP Sensor Fusion Library for Kinetis MCUs E2.1: [NOMoT] Networked Object Motion Tracker

Our Sponsors Dr. Kevin Kemp, NXP Joe Thompson, Technical Advisor, NXP Dr. Bill Stapleton, Ingram School of Engineering, Texas State University E2.1: [NOMoT] Networked Object Motion Tracker

Roles & Responsibilities NAME Role & Responsibilities Joe Castellon, Project Manager Conduct meetings, status reports Nigel Dalke Design engineer, liaison Murphy Granillo Verification & validation Derek Kostiha Design engineer E2.1: [NOMoT] Networked Object Motion Tracker

Budget ITEM Portable DC Power Supply $ 35 TWR-KW24D512 $ 149 TWR-ELEV $ 39 TWR-SHIELD FRDM-STBC-AGM01 $ 16 TOTAL $ 274 E2.1: [NOMoT] Networked Object Motion Tracker

Constraints Complexity and limitation on information resources Lack of specific technical skills on the team E2.1: [NOMoT] Networked Object Motion Tracker

Block Diagram E2.1: [NOMoT] Networked Object Motion Tracker

Design Decisions TWR-KW4D2K512 Use of 9-axis sensors NXP next generation IEEE 802.15.4 smart radio platform; used for thread communication Use of 9-axis sensors Use of data from sensors are “fused” to compute something more than can be determined by anyone sensor alone Use of pressure sensor for altitude considered, but discarded E2.1: [NOMoT] Networked Object Motion Tracker

Design Approach Sensor Fusion Libraries IAR Embedded Workbench Available using Kinetis Design Studio IAR Embedded Workbench Used for thread example and for project progress Helpful classes Microprocessors Circuits I & II CS 1308, CS 2308 E2.1: [NOMoT] Networked Object Motion Tracker

Results Software sending information to THREAD Data is collected through 9-axis sensor board. Estimation of displacement is accomplished with this data, but this is not calculated on the device Accuracy in these estimations are within 5% E2.1: [NOMoT] Networked Object Motion Tracker

E2.1: [NOMoT] Networked Object Motion Tracker

E2.1: [NOMoT] Networked Object Motion Tracker

Future Work Implementation of object tracking Durable housing unit Code refinement E2.1: [NOMoT] Networked Object Motion Tracker

Joe Castellon Project Manager Test Bed Nigel Dalke Design Engineer User Interface Murphy Granillo Verification & Validation Derek Kostiha Design Engineer CAD/Assembly E2.1: [NOMoT] Networked Object Motion Tracker