Category: Neuralet
Smart Social Distancing: New Codebase Architecture
This tutorial provides a technical overview of the latest codebase architecture of the Galliot’s Smart Social Distancing application powered by AI on Edge.
Real-world Face Mask Detection Part2; A Practical Solution
In this article, we will walk through the steps for building a face-mask detector to detect faces in real-world CCTV videos captured in crowded areas.
Galliot was Featured by NVIDIA
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 Computer Vision
Adaptive learning builds robust systems that adapt to novel data distributions without having to store or transfer data from edge devices to other systems.
Quantization of TensorFlow Object Detection API Models
This tutorial explains approaches to quantization in deep neural networks and the advantages and disadvantages of using each method with a real-world example.
Smart Social Distancing Tutorial
Smart Social Distancing is an open-source application by Galliot. Read this tutorial to learn how the Smart Social Distancing application works.
Neuralet Webinar Series – Edge DevOps
Edge DevOps Webinar – How Continuous Integration can accelerate Edge Machine Learning application development.
Smart Distancing with the Power of AI
This is the beginning of Galliot’s effort to contribute to controlling the Covid-19 pandemic by building an automatic surveillance system for Distancing Detection.
Get Started
Have a question? Send us a message and we will respond as soon as possible.