借助安森美或赛灵思的硬件搭建视觉类项目，即有机会在 Hackster.io 的社交渠道上进行展示！我们每月都会选择一个新主题。只需搭建项目并在 BOM 列表中标记硬件即可！
点击下方，查看其它社区成员所搭建的项目。
In the previous 2 part tutorial we built a model that plays the card game Dobble. Now we'll be deploying it on the Ultra96-V2.
Use an Ultra96V2 Board, a Yolov3 neuronal network running on a Xilinx DPU to calculate the perfect pizza cutting angle based on the toppings
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 1.3 flow for Avnet Vitis 2020.2 platforms.
Examining the new OnSemi Dual MIPI Camera Mezzanine for the Ultra96.
This guide provides detailed instructions on implementing face detection and face tracking in Python on the Ultra96-V2 platform.
Not all imaging systems need to be expensive. Solutions can be created using cost optimized FPGA and CMOS image sensors directly.
This guide provides detailed instructions for implementing face detection on four (4) cameras using the UltraZed-EV and Multi-Camera FMC.
FPGA-based system that monitors facemask use through artificial intelligence, includes a thermometer and facemask dispenser.
Use a ZYNQ UltraScale+ to build a distributed camera vision system with image processing capabilities.
View a live webcam feed via a webpage implemented on the Ultra96v2.
The project describes how to implement a real-time head pose estimation on Ultra96-V2 using Vitis-AI.
利用安富利机器视觉解决方案实现更多目标
选择安富利作为机器视觉创新技术合作伙伴，以便提高效率，降低潜在风险并最大程度地提高盈利潜力。我们将携手并进，完成更多目标，赢取更多生意。
关注结果