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Neuralet’s New Featuring Service: Adaptive Learning API
Neuralet has launched the publicly-available beta version of its Adaptive Learning API. The Adaptive Edge vision API is a service… Read more…
New Website Feature: Model Garden!
Visit Model Garden to compare and download deep learning models designed for running common computer vision tasks on edge AI platforms.
OpenPifPaf Highlights Neuralet’s Pose Estimation Project
The OpenPifPaf guide DEV has highlighted Neuralet's Docker image release for OpenPifPaf TensorRT execution on Jetson platforms.
The Smart Social Distancing Application Now Supports GPU Acceleration
At Neuralet, we are working hard to bring speed and performance to the next level. We have recently added GPU support for X86 nodes for the Smart Social Distancing application.
Adaptive Learning Support for Coral USB Accelerator
We have recently integrated the Smart Social Distancing application with adaptive learning. Read on to learn more.
Model Garden
Click on a edge device to see all available models
Our Solutions
Social Distancing Detection
Social distancing and face covering are the most effective approaches to slow down and contain the COVID-19 virus spread. We developed an open-source low-cost edge AI system that is practical for a wide range of environments, including offices, warehouses, healthcare, and school indoor and outdoor spaces.
Learn MoreEdge Adaptive Learning
Building robust AI models that work in real-world environments on low computational resources is very challenging. Adaptive systems can automatically learn to specialize in their unique deployment environment data to make real-world edge AI systems practical.
Learn MoreEdge Pose Estimation
Human pose estimation is a fundamental task for various applications and products, including sports and shopper analytics. We are providing reference pose estimation implementation for a range of edge computing applications.
Learn MoreEdge Face Mask Detection
Face covering is the most critical step to prevent the spread of COVID-19. We developed the state-of-the-art facemask detection model that can work in real-time on budget hardware on real-world CCTV cameras, making it the most practical solution that is currently available.
Learn MoreFeatured By:
Winner of the "Jetson Project of the Month" by NVIDIA for the Smart Social Distancing application – April 2020.
Read MoreMentioned by Google Developers blog for implementing the Smart Social Distancing application in a privacy-preserving manner using Coral Edge TPU – July 2020
Read MoreMentioned by BBC Click for designing an innovative application to monitor people's movement and activities to help stop the spread of the virus – September 2020
Read MoreOur Articles
Neuralet Adaptive Learning Service Tutorial
Here is a comprehensive explanation of how to use Neuralet's new Adaptive Learning edge vision Service. In this article, you will find a step-by-step guide on how to run the Adaptive Learning Object Detection model and create an accurate lightweight model for your specified environment. Read more…
Camera Calibration Using Homography Estimation
This article will explain how to map pixel distances on 2D images to the corresponding world distances in 3D scenes using homography estimation. Read more…
A practical solution to real-world face mask detection – Part 2
In this article, we will walk through the steps required to build a face detector to detect faces in real-world CCTV videos captured in crowded areas. Read more…
Pose Estimation on NVIDIA Jetson platforms using OpenPifPaf
In this post, we will walk through the steps to run an OpenPifPaf pose estimation model on NVIDIA Jetson platforms. Read more…
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