Research of real-time video processing system based on 6678 multi-core DSP

2017 ◽  
Author(s):  
Xiangzhen Li ◽  
Xiaodan Xie ◽  
Xiaoqiang Yin
Keyword(s):  
Real Time ◽  
Video Processing ◽  
Processing System

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

The Design of Real-Time and High-Speed Video Processing Platform for Aerial UAV Based on DM642

2014 ◽  
Vol 1061-1062 ◽  
pp. 1186-1189
Author(s):  
Ming Zhe Wei ◽  
Wan Wei Tang
Keyword(s):  
Real Time ◽  
Video Processing ◽  
High Speed ◽  
Rapid Development ◽  
Processing System ◽  
Video Signal ◽  
Good Effect ◽  
Time Data ◽  
Spatial Interference ◽  
On Chip

With the rapid development of aerial UAV (Unmanned Aerial Vehicle), the design of real-time data acquisition and transmission system for the video signal has a new applied field. It is different from traditional video acquisition and processing system, aerial video signal has the problems of screen jitter and spatial interference. The processing algorithm of aerial UAV airborne video signal is put forward in the paper, and the platform of high speed procession is constructed based on chip TMS320DM642, and get a good effect.

scholarly journals FPGA-Based Stereo-Vision System Mimicking Human Binocular Vision

2021 ◽  
Author(s):  
Gvarami Labartkava
Keyword(s):  
Real Time ◽  
Binocular Vision ◽  
Video Processing ◽  
High Performance ◽  
Moving Objects ◽  
Peripheral Vision ◽  
Vision System ◽  
Processing System ◽  
Object Motion ◽  
Human Vision

Human vision is a complex system which involves processing frames and retrieving information in a real-time with optimization of the memory, energy and computational resources usage. It can be widely utilized in many real-world applications from security systems to space missions. The research investigates fundamental principles of human vision and accordingly develops a FPGA-based video processing system with binocular vision, capable of high performance and real-time tracking of moving objects in 3D space. The undertaken research and implementation consist of: 1. Analysis of concepts and methods of human vision system; 2. Development stereo and peripheral vision prototype of a system-on-programmable chip (SoPC) for multi-object motion detection and tracking; 3. Verification, test run and analysis of the experimental results gained on the prototype and associated with the performance constraints; The implemented system proposes a platform for real-time applications which are limited in current approaches.

scholarly journals Energy-Efficient NoC-Based Systems for Real-Time Multimedia Applications using Approximate Computing

2021 ◽  
Author(s):  
Wagner I. Penny ◽  
Daniel M. Palomino ◽  
Marcelo S. Porto ◽  
Bruno Zatt
Keyword(s):  
Real Time ◽  
Video Processing ◽  
Energy Efficient ◽  
Processing System ◽  
Schedulability Analysis ◽  
Multimedia Applications ◽  
Timing Constraints ◽  
Approximate Computing ◽  
Processing Elements ◽  
Fractional Motion Estimation

This work presents an energy-efficient NoC-based system for real-time multimedia applications employing approximate computing. The proposed video processing system, called SApp-NoC, is efficient in both energy and quality (QoS), employing a scalable NoC architecture composed of processing elements designed to accelerate the HEVC Fractional Motion Estimation (FME). Two solutions are proposed: HSApp-NoC (Heuristc-based SApp-NoC), and MLSApp-NoC (Machine Learning-based SApp-NoC). When compared to a precise solution processing 4K videos at 120 fps, HSApp-NoC and MLSApp-NoC reduce about 48.19% and 31.81% the energy consumption, at small quality reduction of 2.74% and 1.09%, respectively. Furthermore, a set of schedulability analysis is also proposed in order to guarantee the meeting of timing constraints at typical workload scenarios.

scholarly journals Embedded Real-Time Video Processing System on FPGA

2012 ◽  
pp. 85-92 ◽  
Author(s):  
Yahia Said ◽  
Taoufik Saidani ◽  
Fethi Smach ◽  
Mohamed Atri ◽  
Hichem Snoussi
Keyword(s):  
Real Time ◽  
Video Processing ◽  
Processing System

Real Time Defects of Beer Bottle Detection System Based on DSP

2008 ◽  
Vol 392-394 ◽  
pp. 414-418 ◽  
Author(s):  
B. Ren ◽  
Tan Cheng Xie ◽  
X. Nan
Keyword(s):  
Real Time ◽  
Video Processing ◽  
Detection System ◽  
Processing System ◽  
Ccd Camera ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Experimental Result ◽  
Detection Techniques ◽  
Video Images

The paper analyses the problem of beer bottles detection techniques on the beer bottles production line, uses digital image processing technique on the beer bottles online defect detection. The paper puts forward the designing ideas of the hardware, developing flow of the software and the algorithm of beer bottles detection. TMSDM642 is used to set up the real-time video processing system of the hardware .The hardware system is mainly composed of three parts: the part of memory, the part of the input and the part of the output. When beer bottles are put into the work area, the video images of the bottle-mouth and bottle-bottom will be gained by the CCD camera, firstly, preprocessing is used to eliminate video image noise. Secondly, the image segmentation algorithm is used to detect defects in video images. Lastly the goal of extracting defects will be accomplished. The experimental result indicated that this system may effectively exam the flaw or the unqualified beer bottles.

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