Articles

  • Neuralet's face mask detector

    A practical solution to real-world face mask detection – Part 2

    This is the second part of a two-part series on real-world face mask detection by Neuralet. As a response to COVID-19, we have designed and developed an open-source application, sponsored by Lanthorn.ai, that can detect if people are wearing a face mask or not. This application works well even in videos captured from crowded areas. Our system can detect face masks in real-world CCTV camera videos, where faces are blurry,… Read more… 

  • Pose estimation applied to CCTV-camera videos.

    Pose estimation on NVIDIA Jetson platforms using OpenPifPaf

    Figure 1. Pose estimation output on NVIDIA Jetson TX2 using OpenPifPaf. Pose estimation is a computer vision technique that detects… Read more…

  • Neuralet Smart Social Distancing application architecture

    Smart Social Distancing tutorial: new codebase architecture

    As a response to the coronavirus (COVID-19) pandemic, Neuralet has released an open-source application that helps people practice physical distancing… Read more…

  • Neuralet's face mask detector

    A practical solution to real-world face mask detection – Part 1

    This is the first part of a two-part series on real-world face mask detection by Neuralet. Wearing a mask in… Read more…

  • Adaptive learning presented by Neuralet is a teacher-student method to adapt a machine learning model to data with novel distributions.

    Adaptive Learning

    Image source This is an article on Adaptive Deep Learning on the edge by Neuralet. The goal of adaptive learning… Read more…

  • Neuralet is an open-source platform for edge deep learning models on GPU, TPU, and more.

    Welcome to Neuralet!

    What is Neuralet? Neuralet is an open-source platform for edge deep learning models on GPU, TPU, and more. With Neuralet,… Read more…

  • Quantization of TensorFlow Object Detection API Models

    Quantization of TensorFlow Object Detection API Models

    In this tutorial, we will examine various TensorFlow tools for quantizing object detection models. We start off by giving a brief overview of quantization in deep neural networks, followed by explaining different approaches to quantization and discussing the advantages and disadvantages of using each approach. We will then introduce TensorFlow tools to train a custom object detection model and convert it into a lightweight, quantized model with TFLiteConverter and TOCOConverter. Finally, as a use case example, we will examine the performance of different quantization approaches on the Coral Edge TPU. Read more…

  • Deploying a Custom SSD MobileNet Model on the NVIDIA Jetson Nano using TensorFlow Object Detection API

    Deploying a Custom SSD MobileNet Model on the NVIDIA Jetson Nano

    In this post, we explain how we deployed a retrained SSD MobileNet TensorFlow model on an NVIDIA Jetson Nano development kit using the latest version of the TensorFlow Object Detection API. We also investigate the errors that we encountered during the procedure and how we solved each one. Read more…

  • Neuralet Smart Social Distancing application tutorial.

    Smart Social Distancing Tutorial

    As a response to the coronavirus (COVID-19) pandemic, Neuralet has released an open-source application that helps people practice physical distancing rules in different places such as retail spaces, construction sites, factories, healthcare facilities, etc. This guide provides a technical overview of the approach to smart social distancing. Read more…

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