Category: edge deep learning

In this tutorial, you will find a step-by-step guide on how to use Galliot’s new Adaptive Learning edge vision Service and build a specialized lightweight Object Detection model for your environment.

In this post, we will walk through the steps to run an OpenPifPaf Pose Estimation model on NVIDIA Jetson platforms.

This tutorial provides a technical overview of the latest codebase architecture of the Galliot’s Smart Social Distancing application powered by AI on Edge.

In this article, we cover the mask detection problem, details about our synthetic ddataset, and classifier that can identify if people are wearing a face mask or not in real-world scenarios.

NVIDIA has featured Galliot’s Jetson-friendly application that runs inference using a TensorRT engine to extract human poses using the OpenPifPaf model.

Adaptive learning builds robust systems that adapt to novel data distributions without having to store or transfer data from edge devices to other systems.

In this post, we explain how we deployed an SSD MobileNet TensorFlow model on NVIDIA Jetson Nano using the TensorFlow Object Detection API.

Here we introduce deep learning, provide examples of edge deep learning in the industry, explain the benefits of deploying edge deep learning to your product, and introduce different hardware architectures as well as available development kits.