SMART CAMERAS AS EMBEDDED SYSTEM SMVEC. SMART CAMERA  See, think and act  Intelligent cameras  Embedding of image processing algorithms  Can be networked.

Slides:



Advertisements
Similar presentations
INTRODUCTION OF COMPUTER
Advertisements

ELECTRICAL. Circuits Outline Power Hub Microcontroller Sensor Inputs Motor Driver.
MotoHawk Training Model-Based Design of Embedded Systems.
Real-time Embedded Face Recognition for Smart Home Fei Zuo, Student Member, IEEE, Peter H. N. de With, Senior Member, IEEE.
An Introduction to Real-time Machine Vision in Mechatronics
An Introduction to Real-time Machine Vision in Mechatronics Dr. Onur TOKER.
Sensors And Micro-Controllers
CMOS image sensors Presenter: Alireza eyvazzadeh.
BLDC MOTOR SPEED CONTROL USING EMBEDDED PROCESSOR
Engineering 1040: Mechanisms & Electric Circuits Fall 2011 Introduction to Embedded Systems.
Chapter 1 CSF 2009 Computer Abstractions and Technology.
Diffuse Optical Tomography Optimization and Miniaturization ECE 4902-Spring 2014 Thomas Capuano (EE&BME), Donald McMenemy (EE), David Miller (EE), Dhinakaran.
Intelligent Autonomous Camera Module (IAKM). Goals Develop an intelligent camera unit with the following features: –Standalone; –Equipped with extraordinary.
המעבדה למערכות ספרתיות מהירות High speed digital systems laboratory הטכניון - מכון טכנולוגי לישראל הפקולטה להנדסת חשמל Technion - Israel institute of technology.
PHASE-II MACHINE VISION Machine vision (MV) is the application of computer vision to industry and manufacturing. Whereas computer vision is the general.
Smart transmitters.
02/2008 MATRIX VISION GmbH 1 Presentation The intelligent camera and Image processing sensor.
How to Choose Frame Grabber …that’s right for your application Coreco Imaging.
Embedded Systems. Today Introduction to Mechatronics Microcontroller –Input / Output Ports (I/O) –Memory –ADC –PWM.
DEVELOPMENT OF A ROBOTIC TANK, BASED ON A SMART CAMERA SUBMITTED BY: DANIEL ALON AND AVIAD DAHAN SUPERVISED BY: OREN ROSEN CRML 2012.
1 SERIAL PORT INTERFACE FOR MICROCONTROLLER EMBEDDED INTO INTEGRATED POWER METER Mr. Borisav Jovanović, Prof.dr Predrag Petković, Prof.dr. Milunka Damnjanović,
DLS Digital Controller Tony Dobbing Head of Power Supplies Group.
1.Overview 2. Hardware 3. Software Interface 4. Triggering 5. Installation 6. Configuring.
Typical Microcontroller Purposes
Seminar ON SMART SENSOR Submitted by : SUBIR KUMAR GHOSH Roll No. IN-14/04 Electrical & Instrumentation Deptt. B.E 7th Semester JORHAT ENGINEERING COLLEGE,
Microcontroller Presented by Hasnain Heickal (07), Sabbir Ahmed(08) and Zakia Afroze Abedin(19)
J. Christiansen, CERN - EP/MIC
MACHINE VISION Machine Vision System Components ENT 273 Ms. HEMA C.R. Lecture 1.
Alexei SemenovGeneric Digitizer Generic Digitizer 10MHZ 16 bit 6U VME Board.
Embedded Network Interface (ENI). What is ENI? Embedded Network Interface Originally called DPO (Digital Product Option) card Printer without network.
.. Smart sensors are sensors with integrated electronics that perform the following functions:  Logic functions  Two-way communication  Make decisions.
Lopamudra Kundu Reg. No. : of Roll No.:- 91/RPE/ Koushik Basak
Photoelectric Effect Photon and Charge Amplification and their use in NVDs (Night Vision Devices)
Inside the Digital Camera. Digital Camera Cross Section The digital camera is a complex device The only part that is the same as film cameras is the lens.
COMPUTER ARCHITECTURE & OPERATIONS I Instructor: Yaohang Li.
High Speed Digital Systems Lab Spring/Winter 2010 Project definition Instructor: Rolf Hilgendorf Students: Elad Mor, Ilya Zavolsky Integration of an A/D.
Submitted by:.  Project overview  Block diagram  Power supply  Microcontroller  MAX232 & DB9 Connector  Relay  Relay driver  Software requirements.
CONTENTS Objective Software &Hardware requirements Block diagram Mems technology Implementation Applications &Advantages Future scope Conclusion References.
Unit 3 - Computer Systems. Logical vs Physical A computer system can be represented in either a logical or physical form Both are useful in understanding.
BY Names of team mates and USN numbers TITLE OF YOUR PROJECT college logo example.
License Plate Recognition of A Vehicle using MATLAB
IR OBSTACLE DETECTION TO
Digital Signal Processor HANYANG UNIVERSITY 학기 Digital Signal Processor 조 성 호 교수님 담당조교 : 임대현
DIGITAL CAMERAS IN EMBEDDED SYSTEMS BY: ANTONIO JIM É NEZGRIFFIN MILLERVARUN PATEL.
Arduino Week 3 Lab ECE 1020 Prof. Ahmadi. Objective Data acquisition (DAQ) is the process of measuring an electrical or physical phenomenon such as voltage,
Lesson 1 PLC BASICS. PLC Definition  Programmable Logic Controllers are industrial computers that control machine and other applications.  PLC have.
Nonvolatile memories:
A PRESENTATION ON EMBEDDED SYSTEM
A Brief Company Introduction
Obstacle avoiding robot { pixel }
EMBEDDED SYSTEMS.
ABSTRACT The controller continuously polls the temperature with certain regular time intervals and displays over the 7_segment display The temperature.
Computer Architecture & Operations I
Project Title EVM IN 8051 Under the Guidance of Submitted by.
Automatic human detector garbage can.
SCADA for Remote Industrial Plant
Stateless Combinational Logic and State Circuits
SUBMITTED BY EDGEFX TEAM
System On Chip.
Presentation of Vision System
ARDUINO LINE FOLLOWER ROBOT
IR OBSTACLE DETECTION TO
Image Segmentation Classify pixels into groups having similar characteristics.
Overview Communication is the transfer of information from one place to another. This should be done - as efficiently as possible - with as much fidelity/reliability.
RAILWAY TRACK SNAP NOTIFICATION
NI-sbRIO BASED PLATFORM FOR REAL TIME SPECTROSCOPY
ACOE347 – Data Acquisition and Automation Systems
Development High-Speed Visible Diagnostics for Real-Time Plasma Boundary Reconstruction on EAST By: Biao Shen 8/27/2019.
Presentation transcript:

SMART CAMERAS AS EMBEDDED SYSTEM SMVEC

SMART CAMERA  See, think and act  Intelligent cameras  Embedding of image processing algorithms  Can be networked together to a single host system SMVEC

Components  Image sensor  Image Digitalization circuitry  Image memory  Processor (often a DSP or suitably powerful processor)  Program- and data memory (RAM, nonvolatile FLASH)  Communication interface (RS232,Ethernet)  I/O lines (often optoisolated)  Lens holder or built in lens (usually C, CS or M-mount)  Built in illumination device (usually LED)  Purpose developed real-time operating system SMVEC

Standard smart Vision System SMVEC

ARCHITECTURE  Image sensor  Analog to Digital Electronics  Embedded processing electronics  Interface  Processed image data & Camera control SMVEC

Image sensor  Photons to electrons  Charge integration  Charges to voltage  Amplification of voltage  Analog output SMVEC

ADC  CCD analog output is converted to 8 channels  256 pixel element each  20MHz data rate for each sample  Camera data rate at 160MHZ SMVEC

Image processing PPerformed by embedded algorithm BLOCKS: PProcessing PLD FFIFO Memory BBuffer OOutput SMVEC

Image PROCESSING ARCHITECHTURE SMVEC

Processing PLD Programming logic Device Embedded with processing algorithm Micro processor has a bi-directional path Inputs Raw pixel data Timing and Control Signals SMVEC

FIFO  Acts as a Master Controller for Smart Camera SMVEC

Static Grey Scale Thresholding  Upper and Lower bound are established  Data of interest and non-interesting data  “Data of interest” are transmitted out of camera  Non-Interesting data are not transmitted.  Boundary values are in Grey Scale (0-255) SMVEC

EXAMPLE SMVEC

The static threshold algorithm is given by IF (PIXEL GRAY IS > (CENTER + UPPER)) OR (PIXEL GRAY IS < (CENTER – LOWER) ) THEN TRANSMIT PIXEL ELSE IGNORE PIXEL SMVEC

Embedded Image Processing Algorithm  Algorithms are embedded in hardware with PLD  Operates at 20MHZ data rate per channel  Effective Processing rate is 40MHZ  Each image processing PLD can process can process 2 channels of image data SMVEC

System Overview Consist of up to Twenty 2048 pixel High sensitivity line Transmissive Illumination is provided Makes use of fiber optic technology Data’s are captured from camera by frame grabber System Software controls the illumination source with a funny logic control scheme SMVEC

System Block Diagram

SMART CAMERAS ADVANTAGES  Cost  Simplicity  Integration  Reliability SMVEC

Applications  Automated inspection for quality assurance  Non contact measurements  Code reading and verification  Inspection of continuously flowing materials such as coils, tubes, wires, extruded plastic SMVEC

Applications  Detection of position and rotation of parts for Robot guidance and automated picking  Unattended surveillance  Biometric recognition and access control  visual sensor networks SMVEC

CONCLUSION SMVEC