Embedded Camera Design for Machine Vision Traffic Aplication

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Dowlatzadeh, Shayan | 2018

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 51405 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Gholampour, Iman
Abstract:
With the advent of technology, small in size sensors, memory, speeding up the processor and lowering the cost, it is possible to build an embedded camera system. The goal of this project is to design and build an embedded camera system so it can execute any set of necessary algorithms as depending on the application. In this project, two models of embedded camera systems have been presented as an integrated system and a system with independent units. To design the integrated embedded system, ZYNQ processor is used and two structures are presented in the form of hardware-software and hardware design. In hardware-software design, image processing operations are done by software and in hardware design image processing operations are done by hardware. To design the embedded system with independent units, an FPGA with Spartan 6 family is used for configuring the camera and an ARM processor is used for image processing operations. In the end, a security system is designed for bitstream copy protection known as Identify Friend or Foe
Keywords:
Processors ; Embedded System ; Field Programmable Gate Array (FPGA) ; Machine Vision ; Image Sensor ; ZINQ Processor

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