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The paper introduces a hardware design method machine vision based of textile defect detection system. The system can effectively replace manual monitoring of textile production lines, which has greatly improved the production efficiency and automation. The system uses Samsung's ARM7 chip S3C44B0 as the production's core processor, using the FIFO memory to realize data cache of OV7620 image sensor,...
A directional-edge-feature-based real-time image recognition system has been developed. By employing a digital-pixel-sensor-embedded feature extraction VLSI processor, the delay due to the image data transfer between the image sensor and the feature extraction circuits, the most serious bottleneck in such systems, has been reduced dramatically. Parallel feature vector-generation and template-matching...
The presented demonstrator implements a person counting system using a single overhead sensor and counting the number of people going in and out of an observed area. It is based on a low-power vision sensor, which extracts the contrast of the image in a binary form, implements motion by differencing two successive frames and dispatches the asserted pixels through an address-driven data representation...
Current approaches to feature detection and matching in images strive to increase the repeatability of the detector and minimize the degree of outliers in the matching. In this paper we present a new approach; we suggest that a lower performance feature detector can produce a result more than adequate for robot navigation irrespectively of the amount of outliers. By using an FPGA together with two...
This paper describes the idea and the implementation of the robust algorithm dedicated to extraction of moving vehicles from real-time camera images for the evaluation of traffic parameters, such as the number of vehicles, their direction of movement and their approximate speed. The authors, apart from the careful selection of particular steps of the algorithm towards hardware implementation, also...
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