Creating a product is not just about software; hardware plays a crucial role as well. Specifically, in computer vision, we need compact edge hardware to deploy our object detection models or algorithms. Edge devices are computing hardware positioned at the periphery of networks, close to data sources and end users. These devices reduce latency and […]
A Quick Comparison of the Orbbec and RealSense 3D Cameras
Author: WU Jia (Engineer @ OpenCV China) With the OpenCV VideoCapture class, users can easily access Orbbec’s 3D Cameras without relying on its SDK, similar to working with USB cameras, as demonstrated in following snippet. MacOS users also enjoy the similar convenience as Windows and Linux users now that the related pull request has been merged. In our comparisons here the […]
OpenCV Spatial AI Competition Winners Announced!
We are thrilled to announce the OpenCV Spatial Al competition Sponsored by Intel results. We believe the people who won the competition are not just some talented Al engineers but also trailblazers who are leading the way in making the world a better place. Congrats to all of them! It was never easy to select the […]
OpenVINO model optimization
Are you looking for a fast way to run neural network inferences on Intel platforms? Then OpenVINO toolkit is exactly what you need. It provides a large number of optimizations that allow blazingly fast inference on CPUs, VPUs, integrated graphics, and FPGAs. In the previous post, we’ve learned how to prepare and run DNN models […]
Take Your Computer Vision App to the Edge
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