The alwaysAI Blog

User Highlight - The alwaysAI Discord Bot Creators

At alwaysAI, we love to engage with our growing developer community and highlight their cool projects. Most recently, two of our users created an alwaysAI Discord bot. This bot, developed by Nathan Wise. and Valentine W. allows you to do two main things right from our Discord community:

Using alwaysAI's Model Training Tool to Build a License Plate Tracker

In this tutorial, we’ll cover how to create your own license plate tracker using the new license plate detection model, which was created using alwaysAI’s model training tool.

alwaysAI June 2020 Quarterly Report: Exciting Developments

alwaysAI’s Co-Founder & CEO, Marty Beard, recently shared in a quarterly report (click here or see video below) key updates around the company’s product, developer, partner and corporate progress - as well as exciting news for the remaining months of 2020.

 

alwaysAI Product

alwaysAI set out to create a platform for developers to easily and affordably build and deploy computer vision (CV) applications on edge devices. Early this year, alwaysAI came out of beta and officially released a...

Introduction to Computer Vision Model Training

Training a computer vision model is one component of a complex and iterative undertaking, which can often seem daunting. At alwaysAI we want to make the process simple and approachable. To get you started, we have compiled a general overview of the training process of Deep Neural Networks (DNNs) for use in computer vision applications. We will focus on supervised learning in this overview, which uses labeled training data to teach the model what the desired output is. This article provides...

How a teacher and his students are using robotics & alwaysAI to help with COVID-19.

                                                                                       

 

Transform Your Business with Computer Vision

Computer vision (CV) is a huge part of Industry 4.0 and the changing technological landscape as we know it. Computer vision will allow deeper, more impactful insights into businesses in all sectors. Healthcare providers will be able to more quickly and safely diagnose and treat patients. Manufacturing operations will have enhanced security and productivity. Companies looking for more security while operating virtually, can use computer vision to keep track of their assets, and assure the...

How to Quickly Create and Run a Vehicle Counting Computer Vision App

In this guide, we’ll make an app that can count vehicles in real-time utilizing object counting, a technique used in computer vision that combines object detection and object tracking. Our final computer vision application will tell us how many objects of a specific kind are currently being detected in a video stream.

How to Build a Simple Computer Vision Texting App Using Twilio

There are many use cases in which it could be beneficial to have automated text messages sent that contain data obtained from computer vision. Perhaps you’d like to be notified whenever a person or animal walks into your yard or house (by using object detection), or when your kids appear to be fighting (by using pose estimation), or any other number of scenarios — the possibilities are endless! In this tutorial, we’ll show you how easy it is to accomplish this task by using a very basic...

How productOps Used alwaysAI to Keep an Eye on California’s Trails

Watching the Road Less Traveled

productOps is a boutique software development and consulting firm located in Santa Cruz, California. They serve a broad range of clients across a number of industries, creating custom applications and answering general business challenges.

Seafloor Systems Dives Deep into Computer Vision with alwaysAI

During the 2020s, artificial intelligence (AI), robotics and machine learning will transform the marine industry. New developments with autonomous underwater vehicles will require processing huge amounts of data, propelling AI advancements. Seafloor Systems, Inc. is diving right in.

6 Industries Computer Vision Will Change: Use Cases from Hackathons

Imagine how the world would change if we could easily extend the functions of our visual cortex to machines. Computer Vision (CV) has provided us with immense opportunities to build systems and machines that can change the world. We took our CV platform, alwaysAI, to hackathons at top universities in California: University of San Diego, University of Southern California, and Stanford University. With less than 48 hours to complete their projects, students delivered phenomenal projects using...

How College Hackathons and Computer Vision Will Change the World

How would you make an impact on the world if you could give intelligent sight to a machine?

How to Identify Birds (or Anything Else) Using Image Classification

In this guide, we’ll be focusing on image classification. What is image classification? It is a technique used in computer vision to identify and categorize the main content in a photo or video.

How to Recognize Human Activity Using alwaysAI

The ability to recognize human activity with computer vision allows us to create applications that can interact with and respond to a user in real time. For instance, we can make an application that gives feedback to a user in the moment so that they can learn how to recreate the perfect golf swing, or that sends an immediate alert for help when someone has fallen, or that generates an immersive augmented reality experience based on the user's position.

It's Time to Focus on Computer Vision

At the dawn of a new decade, mobile devices already dominate our personal and professional lives. During the 2020s, computer vision (CV) will come more into focus.

How to Detect People Using alwaysAI

Detecting people can be an important part of applications across many industries. Common use cases include security applications that track who’s coming and going, as well as safety systems designed to keep people out of harm’s way.

Computer Vision 101

It's time: software and hardware technologies are advancing to a place where you can easily equip low-power, resource-constrained edge devices with AI computer vision capabilities. Here's a brief overview of how CV started, what CV is now, where it might be going, and how you can use it to empower your existing equipment or new project. Ultimately, developers everywhere are now able to easily build and deploy deep learning computer vision applications to make your business more functional,...