Intel announced a new tool suite on the 16th that integrates computer graphics and deep learning technologies to help developers accelerate the adoption of visual computing on the Internet of Things (IoT) edge devices, which in turn improves the performance of video analytics. Intel New Tool Suite Name For 'Open Visual Inference and Neural Network Optimization' (OpenVINO), developers who use existing architectures such as TensorFlow and Caffe to train neural networks can use OpenVINO to create and train AI models and apply them to various products. Easily add inference capabilities for visual computing applications. Inference is an important element of AI, allowing the algorithm to build new insights based on existing information. Steen Graham, general manager of the Intel IoT channel, points out that the equipment vendor Adlink has developed using OpenVINO A visual computing solution that can detect PCB errors on the production line. Other companies that also use OpenVINO include GE Healthcare, Amazon Web Services (AWS), GE's Current, Honeywell, Dell, and Grand Dahua, etc. Solution provider Comtech Telecommunications Product Management Vice When Brian Salisbury accepted the CRN interview, he said that visual computing software collects a large amount of image information and processes it at the edge of the device, which is more meaningful than sending it to the cloud. Intel stated that OpenVINO is suitable for a wide range of developers, for example, in the retail industry. Personnel may establish visual computing capabilities in edge devices, including point-of-sales, digital signage, security monitors, etc. But Graham emphasizes that OpenVINO is particularly helpful for IoT solutions using visual computing channel partners because OpenVINO uses existing ones. The system performs inference calculations, including several technologies developed by Intel such as CPUs, FPGAs and Movidius Vision Processors (VPUs).
