7 research outputs found

    A WSN approach to unmanned aerial surveillance of traffic anomalies: Some challenges and potential solutions

    Get PDF
    Stationary CCTV cameras are often used to help monitor car movements and detect any anomalies - e.g., accidents, cars going faster than the allowed speed, driving under the influence of alcohol, etc. The height of the cameras can limit their effectiveness and the types of image processing algorithm which can be used. With advancements in the development of inexpensive aerial flying objects and wireless devices, these two technologies can be coupled to support enhanced surveillance. The flying objects can carry multiple cameras and be sent well above the ground to capture and feed video/image information back to a ground station. In addition, because of the height the objects can achieve, they can capture videos and images which could lend themselves more suitably for the application of a variety of video and image processing algorithms to assist analysts in detecting any anomalies. In this paper, we examine some main challenges of using flying objects for surveillance purposes and propose some potential solutions to these challenges. By doing so, we attempt to provide the basis for developing a framework to build a viable system for improved surveillance based on low-cost equipment. © 2013 IEEE.t.published_or_final_versio

    Technologies for faults diagnosis of FPGA logic blocks

    No full text
    The critical issues of testing field programmable gate arrays (FPGA) with a view to diagnosing faults are an important step that ensures the reliability of FPGA designs. Correct diagnosis of faulty logic blocks of FPGAs guarantees restoration of functionality through replacement of faulty block with replacement units. This process can be done autonomously or without the intervention of an engineer depending on application area. This paper considers two methods for analysing test results of FPGA logic blocks with the purpose of localising and distinguishing faults. The algebraic logic and vector-logical methods are proposed for diagnosing faulty logic blocks in FPGA fabric. It is found that the algebraic logic method is more useful for processing of sparse faults tables when the number of coordinates with 1s values with respect to zero values ​​is not more than 20%, whereas the vector-logical method facilitates the analysis of faults table with predominance of 1s values

    Real-time multimedia computing

    No full text
    10.1007/s11042-013-1428-6Multimedia Tools and Applications652181-186MTAP
    corecore