Technical Library

Transcribe an audio file using Kaldi acoustic and language models and the Intel® Speech Decoder and Intel® Speech Extraction libraries from the Intel® Distribution of OpenVINO™ toolkit.

Detect arc welding porosity defects in real time with an end-to-end solution that integrates hardware and software.

Convert a pre-trained DarkNet Tiny YOLO V3 model to TensorFlow, then run accelerated inference using OpenVINO™ for object detection. Learn how to fine-tune an application for optimal performance.

Perform object detection and inference with multiple video and image input feeds simultaneously. Monitor customer activity and track product inventory using a pretrained neural network.

Run inference on a pre-trained people detection model from the Intel Distribution of OpenVINO™ toolkit to detect people in a retail setting.

Build a solution to analyze customer expressions and reactions to product advertising positioned on retail shelves.

Perform automated seismic interpretation using a convolutional neural network model to identify salt bodies in the Earth's crust.

Use an optimized and pre-trained Mobilenet-SSD neural network to detect people and their safety gear from video input.

Convert a TernausNet-based Pytorch model to utilize Intel® Distribution of OpenVINO™ toolkit for accelerated inference to segment robotic tools in an endoscopic surgical video.

Create a smart video solution to detect people within a video frame and determine whether they have entered a restricted zone.

Optimize and deploy a pre-trained ResNet18 model that classifies synthetic aperture radar (SAR) images using multiple military vehicle classifiers.

Classify the probability of pneumonia in x-ray images using a pretrained neural network and the Intel® Distribution of OpenVINO™ toolkit. Use Class Activation Maps for insight into network decisions.