Showing papers on "Blackfin published in 2008"

Fingerprint Sensor and Blackfin Processor Enhance Biometric- Identification Equipment Design

Abstract: Biometrics and Security The need for effective security, implemented efficiently, is manifest in today’s world. Individuals must be identified to allow or prohibit access to secure areas—or to enable them to use a computer, personal digital assistant (PDA), or mobile phone. Biometric signatures, or biometrics, are used to identify individuals by measuring certain unique physical and behavioral characteristics. Virtually all biometric techniques are implemented using a sensor, to acquire raw biometric data from an individual; feature extraction, to process the acquired data to develop a feature-set that represents the biometric trait; pattern matching, to compare the extracted feature-set against stored templates residing in a database; and decision-making, whereby a user’s claimed identity is authenticated or rejected.

Embedded computer vision framework on a multimedia processor

Abstract: In this paper we present a framework for implementing computer vision algorithms on embedded processors using the analog devices Blackfin BF561 processor. This framework is designed to consist of a set of simple functions that allow complex tasks to be performed, such as object tracking or object recognition. Special consideration is given to the methods of optimization that are needed to achieve real-time performance. Given the low cost and low power consumption of embedded devices, the applications for this framework are very widespread and have the potential to be seen in many everyday devices. The completed framework is capable of processing algorithms at 15 frames per second with 24 bit colour, 360 times 240 pixel images which supports this approach as a useful direction for low cost, low power computer vision platforms.

‘Black Spot’: A prototype camera module

Abstract: The design, implementation and performance of a prototype miniature and intelligent camera module is described. The camera module consists of an Aptina CMOS image sensor connected to an Analog Devices Blackfin DSP. Its primary function is to locate all bright spots in each image frame and to transmit over a serial bus the corresponding location information. The preliminary results suggest the module has the capability to provide accurate and timely data. Potential applications for the device include use in a range of specialised optical tracking and monitoring systems.

Video object segmentation based on frame differences and its implementation on DSP

Abstract: MPEG-4 provides coding based on content. Before coding, each frame in video sequences needs to be divided into VOP (video object planes). Extraction of moving object is the principal problem. An extraction algorithm of video object based on Blackfin 533 DSP is proposed in the paper. The four order statistics of five frames difference are used to automatically separate the motion region from background, and to extract binary mask of moving object, and then to further use morphologic method to fill the gained binary mask. As revealed by experiments, automatic extracting of moving object can be realized easily through this method to facilitate the real-time image management.

Building Complex VDK/LwIP Applications Using Blackfin® Processors

Abstract: Copyright 2007-2008, Analog Devices, Inc. All rights reserved. Analog Devices assumes no responsibility for customer product design or the use or application of customers’ products or for any infringements of patents or rights of others which may result from Analog Devices assistance. All trademarks and logos are property of their respective holders. Information furnished by Analog Devices applications and development tools engineers is believed to be accurate and reliable, however no responsibility is assumed by Analog Devices regarding technical accuracy and topicality of the content provided in Analog Devices Engineer-to-Engineer Notes. Introduction

Software-defined digital radio basehand processor using Blackfin DSP

Abstract: Software defined radio (SDR) is a common approach to wireless digital communication when flexibility, easy reconfiguration and fast prototyping time is required. In this article we present an application of a Blackfin DSP working as a baseband processor in a low-power software-defined digital radio link, under control of a uClinux operating system. Functional characteristics are shown along with the measured power consumption. Presented device can be used as a part of a testing framework, as a prototyping platform or as a baseband module in standalone digital transceiver.

Efficient Modular Algorithm on the BLACKFIN DSP

Abstract: To calculate the module for the DFT spectrum calculation,and avoid low processing speed of the approximate calculation,mass storage for the look-up table,a new modular algorithm combined with the approximate calculation and the look-up table is designed.Calculate the optimal storage of the table by analyzing the error.,and program the modular assemble language for the fraction operation on the BLACKFIN DSP.Experiments have indicated that this method improved the speed of the modular algorithm about 2.03 times as much as the approximate calculation,and the precision was improved 1 bit with little storage.

Implement of Tracking system of Moving Target Based on DSP

Abstract: The text mainly expatiate The Design and Implement of an Automatic-recognising and Automatic-tracking system of Moving Target Based on DSP, adopting the Blackfin 533 produced by ADI company, which is high-speed and high-performance. The system mainly adopted the algorithm of moving target centroid catching and the flexible design of software, realized the real-time tracking of moving target, and improved the operation speed and tracking effect greatly, finally disengage the computer entirely and had been a independent system. The on-chip system has a wide outlook in real application.

Design, Simulation and Implementation of a Channel Equalizer for DVB-T On-channel Repeaters

Abstract: This article describes the design and implementation of a channel equalizer for a terrestrial digital television (digital video broadcasting-terrestrial, DVB-T) on-channel repeater, namely gap-filler. Two are the benefits of including this equalizer in a repeater setup: on one hand, the transmitted signal requires a lower dynamic range and its degradation becomes smaller at the output amplifiers, thus allowing for a higher transmit power for the same modulation error rate (MER). On the other hand, it eases the equalization and decoding processes at the final receiver by improving its operation conditions. In this context, we present a novel low-cost equalizer architecture for mid-range and domestic gap-fillers. The design, implementation and validation methodology is also described, from the initial Matlab and advanced design system (ADS) simulations to the final hardware implementation, based on a field programmable gate array (FPGA) device and a Blackfin digital signal processor (DSP). The obtained practical results assess the performance gains predicted by simulation, hence proving the validity and efficacy of the designed equalizer to reduce the cost of the amplifiers and to obtain a better signal quality at the final userpsilas receiver.

Design and Implementation of a DSP-Based Embedded Image Monitoring System

Abstract: Image processing and transmission and the JPEG still picture compression algorithm are speedily implemented based on the Blackfin 533 DSP,which is powerful in digital image processing and owns a parallel peripheral interface,and image data transmission is based on the Ethernet.The speed of image collection and compression is improved effectively,and the design of the monitoring system for high-resolution images is realized by ameliorating the mode of writing and reading operations of SDRAM and by using the unique assembly instruction set and the kernel framework of the Blackfin chip.

The Real Time Implementation of an Efficient Algorithm for Removal Impulse Noise Using Blackfin Microcontroller

Abstract: Keywords. Impulsive noise, median filter, sorting procedure, dual core. Abstract. An efficient removal impulse noise algorithm is presented for restoration of images that are highly corrupted. This algorithm has much better image quality than a median filter. It removes only corrupted pixel by the median value or by its neighboring pixel value. The paper focuses on a real time implementation using the Blackfin microcomputer (Analog Devices) that involves the high parallelism both in software and hardware of this processor.

Implementation of a modified wavelet based video compression on a ADSP blackfin 533 processor for medical imaging applications

Abstract: Three-dimensional (3-D) subband/ wavelet coding via a Motion Compensated Temporal Filter (MCTF) is emerging as a very effective structure for highly scalable video coding. In this paper, a low bit rate video coding system based on three dimensional (3-D) wavelet coding using longer filters (Le Gall 5/3, 9/7) is implemented for Telemedicine imaging applications. In addition, a new scheme for finding the motion vectors (MV) is proposed and through several experimental results, it has been observed that it outperforms H.264 base line profile in terms of PSNR.

The time-scaling and Pitch-Shifting algorithms for blackfin DSP

Abstract: Audio effects processing technology is widely used in various types of music production, live performances and other occasions. Most of traditional technologies produce real-time audio effects with hardware analog circuits. In this paper, focus on the demand of time scaling, pitch shifting and special effects of real-time audio. Improve the algorithm performance, efficiency and effectiveness in subjective base on traditional phase vocoder model in high performance DSP processor BlackFin which be made the use of its structural features. Experiment shows that, new algorithm do well in both computation and hearing effect.