Sample solutions presented on Global Azure Bootcamp 2019. Event:
Azure based Computer Vision
.NET solution which uses Azure Cognitive Service to detect objects in web-camera feed.
OpenCV based Computer Vision
.NET solution based on OpenCV library and haarcascade_profileface.xml model which detect profile faces in camera feed.
OpenVINO based Computer Vision (C++)
Application based on OpenVINO to detect objects, faces and recognize age, gender and emotions.
OpenVINO based Computer Vision (Python) and Azure IoT Hub
Python app which detects faces with OpenVINO and send data to Azure IoT Hub.