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The machine vision based inspection and measurement system obtains more significant advantages, such as higher speed and accuracy. A vision based embedded tiny spur gear inspection and measurement system is proposed. The system, which is designed for measuring gear's addendum and dedendum diameter, and inspecting the tooth deformation. In this system, Field-Programmable Gate Array (FPGA) is used to...
In the vision measurement of high-speed moving target, the system should with high data-update rate and maintain it stable. Cooperative markers also should be correctly matched. As the markers on the moving target with large displacement in the images between frames, the conventional neighborhood search method with a fixed neighborhood size would decrease the system data-update rate, mismatch the...
In this paper a real-time embedded 3D vision measurement system (a vision sensor) is realized, based on the line structured light, mainly for applications like large object reconstruction or robot obstacle avoidance. The system mainly contains a sensor and an image acquisition and processing board developed by our research team. An FPGA chip and a DSP chip are embedded in the card as the major calculation...
In the binocular vision measurement of moving target, the measurement accuracy requires the images with higher resolution, and the velocity of the target requires the system with real-time ability, which become the principal contradiction in the binocular vision measurement system design. In this paper, a high-speed vision measurement system based on cooperation target with high resolution is proposed...
Dense stereo disparity map displayed in real time as video is one form of 3D video that renders objects in the scene by the intensity modulation in terms of the distance to the objects. With two cameras whose the optical axes are parallel, the stereo disparity is calculated to find the range to the objects. Sophisticated matching algorithms are generally slow and difficult to apply parallelism to...
This paper presents GIMME (General Image Multiview Manipulation Engine), a highly flexible reconfigurable stand-alone mobile two-camera vision platform with stereo-vision capability. GIMME relies on reconfigurable hard-ware (FPGA) to perform application-specific low to medium-level image-processing at video-rate. The Qseven-extension enables additional processing power. Thanks to its compact design,...
In this article, a motion sensor, based on a video embedded system, is presented. This sensor can detect if a person is on a crosswalk near a traffic light: if this event occurs while pedestrians have the stop sign, then a warning alarm to incoming drivers can be generated. The system innovation consists of the fact that no PC for video image processing is needed, but the motion sensor consists of...
This paper presents FPGA based VGA display interface design for image display verification during test procedure in the star sensor debugging phase. Methods of asynchronous FIFO, methods for data update during line blanking interval and vertical blanking interval were adopted, and CCD camera's requirements for special sequential order were satisfied, and the metastable state problem caused by data's...
This paper describes an embedded system for real-time human motion detection using a fixed camera. A modified version of the Codebook algorithm is developed to detect moving objects. This algorithm provides fast background modelling and subtraction with small storage memory requirements. Then, the system detects humans using a simplified Skeletonization algorithm, which uses the individual human shape...
Recognizing a specific moving target and capturing image with its trajectory has a wide range of applications. This paper introduces an embedded network video device system scheme which is used for target tracking and it is based on FPAG, ARM and Embedded Linux OS. The embedded network device consists of three main parts: image acquisition, image transmission, image processing included image recognition...
Intelligent industrial robots must respond rapidly to environmental stimuli, and therefore the integration and real-time processing of motion-vision functions are of utmost importance. Robot decision making and motion control are commonly based on visual information in industrial machine vision applications. However, conventional processors are inadequate for such real-time processing since they are...
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