How to Deploy Computer Vision Models Offline

In this guide, we walk through how to deploy computer vision models (i.e. YOLOv8) offline using Roboflow Inference.

Roboflow Video Inference with Custom Annotators

Performing real-time video inference is crucial for many applications like autonomous vehicles, security systems, logistics, and more. However, setting up a robust video inference pipeline can be time consuming. You

Introducing the Roboflow Logistics Pre-trained Object Detection Model

Starting a machine learning model from zero is computationally expensive and time-consuming. Pre-trained models solve this by offering a jump-start: they come with learned features from extensive training on large

Using the Roboflow License Server

In this guide, learn what the Roboflow License Server is, how it works with Inference, and why you may want to use the server.

Launch: Roboflow Inference Server CLI

In this guide, you’ll learn how to use the new Roboflow Inference command-line tool to start an inference server on your machine and run inference locally.

Enhancing Child Safety with Computer Vision

This article was contributed to the Roboflow blog by Abirami Vina. Introduction Child safety is a priority for parents and caregivers, an issue society takes seriously. While traditional safety measures

Using Computer Vision for Online Exam Proctoring

This article was contributed to the Roboflow blog by Abirami Vina. Introduction Digital transformation is a common practice in various fields, including education. There has been a significant shift towards

How to Use Computer Vision to Monitor Inventory

Real-time insights extracted from video streams can drastically improve efficiency for how industries operate. One high-impact application of this is in inventory management. Whether you’re a factory manager looking

How to Use Computer Vision for Environment Monitoring

This article was contributed to the Roboflow blog by Abirami Vina. Measuring changes to our environment is an important part of understanding progress made toward a more sustainable world. Historically,

Detect and Segment Oil Spills Using Computer Vision

The article below was contributed by Timothy Malche, an assistant professor in the Department of Computer Applications at Manipal University Jaipur. Introduction An oil spill in the sea is a

Build a Chess Game Recorder with Computer Vision

This article was contributed to the Roboflow blog by the team at A1H1. Introduction The project of making an automated chess game recorder started after finding out that a chess

How to Deploy Computer Vision Models to Jetson Orin Nano

NVIDIA's newest Jetson Orin line promises a leap forward in computational efficiency and compatibility. Running on JetPack 5.0 and beyond, these compact yet powerful devices are akin to Raspberry

How to Deploy a Roboflow Model to Lens Studio

This guide demonstrates how to build a computer vision model in Roboflow and deploy the model to Lens Studio.

How to Deploy YOLOv8 Using Intel's OpenVINO and Amazon SageMaker

Introduction In this post we will walk through the process of deploying a YOLOv8 model (ONNX format) to an Amazon SageMaker endpoint for serving inference requests, leveraging OpenVino as the

Automated Computer Vision Inspection of Physical Pipelines

In this guide, we show how to identify various types of pipeline defects using computer vision.

Not All mAPs are Equal and How to Test Model Robustness

Learn how to stress-test the robustness of computer vision models.

How to Code Non-Maximum Suppression (NMS) in Plain NumPy

Double Detection in Computer Vision If you’ve been working with object detection long enough, you’ve undoubtedly encountered the problem of double detection. For some reason, the model detects

Deploy Models from Roboflow with the Luxonis DepthAI SDK

The new Luxonis DepthAI SDK Roboflow Integration gives users the option to deploy Roboflow models to OAK devices with more functionality and out-of-the-box options for customization of inferences.

Deploy Computer Vision Models to Raspberry Pi with Docker

To follow along with this tutorial, you will need a Raspberry Pi 4 or 400. You will need to run the 64-bit Ubuntu operating system. Roboflow supports deploying custom computer

Computer Vision Assisted Structural Damage Inspection Using Drones

In this post, Timothy Malche walks through how to inspect structural damage with computer vision and drones.

Deploying Machine Learning Models with PyTorch, gRPC and asyncio

Today we're going to see how to deploy a machine-learning model behind gRPC service running via asyncio. gRPC promises to be faster, more scalable, and more optimized than HTTP v1.

Using Computer Vision to Save Sea Lions

What is causing the sea lion population to decrease? Is it illegal hunting? Is it shark and killer whale predation? Or maybe it’s overfishing, causing the sea lions to

Use Docker to Deploy Computer Vision Models

💡Ready to deploy a vision model? Roboflow Inference, the server that powers millions of inferences on the Roboflow platform, is now available as an open source project. See the Quickstart

Launch: Semantic Segmentation for Labeling, Training, Deployment

Roboflow now supports semantic segmentation projects end-to-end allowing you to use Roboflow Annotate to label data, Roboflow Train to build models, and Roboflow Deploy for inference. This release, alongside support

Using Object Detection to Trigger Automated Email Alerts

In this tutorial, we'll show you how to use object detection to identify specific configurations within an image to trigger email notifications. This setup demonstrates how you can easily integrate