The article analyzes the hardware and software complex for video data processing and computer vision algorithms. It covers video data processing processes, computer vision algorithms, including technologies such as CNN, YOLO and R-CNN, and shows the role of hardware such as GPU and FPGA in increasing their efficiency. It also analyzes software platforms (TensorFlow, OpenCV) and presents the capabilities of real-time video data processing. The article is devoted to the application of video data processing in industry, security and medicine, and considers prospects for further development.
| Mualliflar | Шамсиева, Хабиба |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2024-12-27 |
| Son | 4 |
| Til | Rus |
Video ma’lumotlarga ishlov berish, kompyuterli ko’rish, CNN, YOLO, GPU, FPGA, TensorFlow, OpenCV, real vaqt algoritmlari, apparat dasturiy majmusi., обработка видеоданных, компьютерное зрение, CNN, YOLO, GPU, FPGA, TensorFlow, OpenCV, алгоритмы реального времени, аппаратное программное обеспечение
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