scholarly journals SOC integration for video processing application

2019 ◽  
Vol 8 (1) ◽  
pp. 223-230
Author(s):  
Chan Boon Cheng ◽  
Asral Bahari Jambek
Keyword(s):  
Video Processing ◽  
Random Access ◽  
Processing System ◽  
Data Conversion ◽  
Camera System ◽  
Processing Application ◽  
Video Decoder ◽  
Nios Ii ◽  
Development Platform ◽  
Conversion System

Video processing is an additional system that can improve the functionality of video surveillance. Integration of a simple video processing system into a complete camera system with a field-programmable gate array (FPGA) is an important step for research, to further improve the tracking process. This paper presents the integration of greyscale conversion into a complete camera system using Nios II software build tools for Eclipse. The camera system architecture is designed using the Nios II soft-core embedded processor from Altera. The proposed greyscale conversion system is designed using the C programming language in Eclipse. Parts of the architecture design in the camera system are important if greyscale conversion is to take place in the processing, such as synchronous dynamic random-access memory (SDRAM) and a video decoder driver. The image or video is captured using a Terasic TRDB-D5M camera and the data are converted to RGB format using the video decoder driver. The converted data are shown in binary format and the greyscale conversion system extracts and processes the data. The processed data are stored in the SDRAM before being sent to a VGA monitor. The camera system and greyscale conversion system were developed using the Altera DE2-70 development platform. The data from the video decoder driver and SDRAM were examined to confirm that the data conversion matched greyscale conversion formulae. The converted data in the SDRAM correctly displayed the greyscale image on a VGA monitor.

scholarly journals Implementation of a camera system using nios II on the altera DE2-70 board

2019 ◽  
Vol 14 (2) ◽  
pp. 513
Author(s):  
Chan Boon Cheng ◽  
Asral Bahari Jambek
Keyword(s):  
Video Processing ◽  
Random Access ◽  
Camera System ◽  
Embedded Processor ◽  
Nios Ii ◽  
Development Platform ◽  
Quartus Ii ◽  
Field Programmable ◽  
Sdram Controller ◽  
Recorded Image

The implementation of a camera system with a field programmable gate array (FPGA) is an important step within research towards constructing a video processing architecture design based on FPGA. This paper presents the design and implementation of a camera system using the Nios II soft-core embedded processor from Altera. The proposed camera system is a flexible platform for the implementation of other systems such as image processing and video processing. The system architecture is designed using the Quartus II SOPC Builder System and implemented on an Altera DE2-70 development platform. The image or video is captured using a Terasic TRDB-D5M camera and stored into two different synchronous dynamic random access memories (SDRAM) using an SDRAM Controller. The specifications of the Terasic TRDB-D5M and SDRAM are examined to confirm that the recorded and stored data match. The results of this experiment show that the system is able to record and store data correctly into SDRAM. The data in the SDRAM correctly displays the recorded image on a VGA monitor.

Design of a real-time video processing system with FPGA

2002 ◽  
Author(s):  
Wei Liu ◽  
Zeying Chi ◽  
Wenjian Chen
Keyword(s):  
Real Time ◽  
Video Processing ◽  
Processing System

Development of data conversion system for electron beam projection lithography

2002 ◽  
Vol 20 (6) ◽  
pp. 2672 ◽  
Author(s):  
Kokoro Kato ◽  
Kuninori Nishizawa ◽  
Tamae Haruki ◽  
Tadao Inoue ◽  
Koichi Kamijo ◽  
...  
Keyword(s):  
Electron Beam ◽  
Data Conversion ◽  
Projection Lithography ◽  
Conversion System ◽  
Beam Projection

LEEPL data conversion system

2003 ◽  
Author(s):  
Masahiro Shoji ◽  
Nobuyasu Horiuchi
Keyword(s):  
Data Conversion ◽  
Conversion System

Structure of an Embedded System Software Platform for Plate Recognition System Based on Applied Mechanics

2012 ◽  
Vol 460 ◽  
pp. 266-270
Author(s):  
Xing Wu Sun ◽  
Yu Chen ◽  
Ai Fei Wang
Keyword(s):  
Embedded System ◽  
Recognition System ◽  
Cmos Camera ◽  
Camera System ◽  
New Thought ◽  
Development Platform ◽  
Embedded Linux System ◽  
Acquisition Device ◽  
The Embedded System ◽  
And Control

According to the shortcomings of large volume and high cost about the plate recognition system, an embedded plate recognition system is developed based on the ARM11 processor at lower costs. Taking the embedded Linux system as the software development platform, the system uses graphical user interface to operate and control the machine. Using CMOS camera system as image acquisition device, the system adopts HSV algorithm to realize the image classification on the platform of the embedded plate recognition system. The experimental results show that the embedded system runs stably, can realize the plate classification by color, and has the advantages of small size, low power consumption, convenience for using and so on. The embedded system provides a new thought for plate recognition.

Morphological Analysis of Cells and Chromosomes by Digital Computer

1965 ◽  
Vol 04 (04) ◽  
pp. 163-167 ◽  
Author(s):  
M. L. Mendelsohn ◽  
W. A. Kolman ◽  
B. Peheyand ◽  
J. M. S. Peewitt
Keyword(s):  
High Speed ◽  
Morphological Analysis ◽  
Model System ◽  
Data Conversion ◽  
Optical Information ◽  
Human Chromosomes ◽  
Digital Form ◽  
Conversion System ◽  
Scanned Images

A computer-oriented approach to the analysis of microscopic images has been developed around CYDAC, a data conversion system which scans through the microscope and records the optical information in digital form on magnetic tape. The quality of the optical information thus made available to the computer is surprisingly good, as evidenced by reconstructions of the original image using the high-speed printer. Preparations for the computer- interpretation of scanned images are underway, using blood cells as a model system. Parallel attempts to classify human chromosomes by means of CYDAC scans have given very encouraging preliminary results.

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