How TensorIoT is using Amazon Lookout for Metrics to improve our Solutions

By: Nicholas Burden, Technical Evangelist, TensorIoT

In an increasingly connected world, the connectivity and flow of data and information between sensors and devices creates a tremendous amount of available data. This presents a major challenge for businesses — how can we process these vast amounts of available data in order to extract valuable information? In the sphere of data science, anomaly detection is one of the newest buzzwords, but understanding why anomaly detection matters can be challenging.

Amazon Lookout for Metrics is a new machine learning (ML) service that processes your business and operational time series data to automatically detect…


By: Viraj Deshwal, Machine Learning Engineer, TensorIoT and Nicholas Burden, Technical Evangelist, TensorIoT

Welcome to the second in our series about AWS Panorama, the new tool providing cloud integration to bring Computer Vision to the edge with a fully managed AWS Edge inference device for real-time inference.

Amazon Web Services (AWS) released AWS Panorama during re:Invent 2020, and TensorIoT is actively incorporating this exciting new tool into our products and solutions, such as SafetyVisor, our professional computer vision product that detects usage of masks and other protective gear.

In this blog, we’ll explore connecting an iPhone or any other camera using RTSP (Real-Time Streaming Protocol) stream to Panorama appliance and creating an application to detect people, cars, trains and other environmental objects. …


How TensorIoT is using Amazon Lookout for Vision to improve our Solutions

By: Nicholas Burden, Technical Evangelist, TensorIoT and Viraj Deshwal, Machine Learning Engineer, TensorIoT

At re:Invent 2020, Amazon Web Services (AWS) debuted Amazon Lookout for Vision, a new machine learning (ML) service that provides industrial customers with an easy and cost-effective method for detecting visual defects on production units and equipment. As official launch partners for Amazon Lookout for Vision, TensorIoT is excited to share one of the ways we’re using this innovative technology to improve our solutions. …


By: Viraj Deshwal, Machine Learning Engineer, TensorIoT and Nicholas Burden, Technical Evangelist, TensorIoT

AWS Panorama - AWS Panorama provides integration with the cloud to bring Computer Vision to the edge with a fully managed AWS Edge inference device for real-time inference.

The Amazon Web Services (AWS) re:Invent release of AWS Panorama has greatly facilitated moving computer vision to the edge. The integration of AWS Panorama into TensorIoT’s SafetyVisor product, our general solutions, and our retail intelligence gives TensorIoT the flexibility to customize solutions even further for clients looking to harness the power of edge computer vision.

For a practical example…


By: Nicholas Burden, Technical Evangelist - TensorIoT

For Amazon Web Services (AWS) and AWS APN partners like TensorIoT, the annual re:Invent conference is instrumental for showcasing the year’s successes and designations. This year, the conference took a new form, going completely digital to handle the business best practices imposed by the pandemic, and attendees were able to register at no cost. With re:Invent 2020 being completely digital and free, it opened doors for AWS and AWS APN Partners being featured in re:Invent to reach wider audiences around the world. …


By: Kenny Matsudo & Nicholas Burden

Overview:

In this blog, we’ll explore the process of setting up a local Amazon DynamoDB instance for both development and testing. We can use this local DynamoDB instance to develop locally without connecting directly to Amazon DynamoDB, and perform our integrations tests without incurring normal Amazon DynamoDB costs.

Note: These test examples only showcase the possibilities of locally run Amazon DynamoDB and do not represent actual production tests.

We’ll be using:

  • Python as our source code language.
  • Git as our version control system.
  • VSCode as our code editor.
  • AWS-SAM to build and package our…


By: Brian Meraz, Backend Team Lead

Testing code that interacts with AWS has its share of challenges. When combining the PyTest framework with Moto (python library), this gives us the ability to test units of code that interact with AWS, while mocking AWS responses.

What is a unit test?

The isolation and testing of a singular bit of code from within a code base is what is described as a unit test.

Some of the benefits of a unit test are (there are many more):

● Change the technical implementation while making sure you don’t change the behavior (refactoring).

●…


By: Alix Akhribi, Software Engineer at TensorIoT

Capture from Batman Arkham Knight gaming running on max settings on AWS cloud gaming

What is cloud gaming and why?

Cloud gaming is a way of playing video games through remote hardware. Spending a lot of money building dedicated gaming machines, downloading a game onto that machine, and playing it locally is time consuming and costly. Cloud gaming only relies on internet streaming to deliver games to your device of choice. That means that your television, phone, or computer is not limited by its own hardware to play these games.

There are several reasons why cloud gaming has become popular in recent times. The first and most…


By: Destinee Alderete

Irvine, Calif., Dec. 20, 2019 — TensorIoT, Making Things Intelligent, announced today, that it has achieved Amazon Web Services (AWS) Industrial Software Competency status, their third competency achievement of 2019.

Coming shortly after the announcement of attaining the Amazon Web Services Retail Competency at re:Invent, TensorIoT has announced the achievement of their fourth competency with AWS. Industrial Software Competency partners have demonstrated technical proficiency and proven customer success across numerous innovative solution areas in the industrial software space.

The AWS Industrial Software Competency Partners have demonstrated success in offering end-to-end solutions that support the core value generation…


By: Destinee Alderete

Irvine, Calif., Dec. 05, 2019 — TensorIoT, Making Things Intelligent, announced today, at the AWS re:Invent Global Partner Summit in Las Vegas, that it has achieved Amazon Web Services (AWS) Retail Competency status.

AWS Retail Competency Partners have demonstrated technical proficiency and proven customer success across numerous innovative solution areas in retail spanning Data Lakes, artificial intelligence (AI) / machine learning (ML), Voice, Recognition, Internet of Things (IoT), Microservices, and Retail Transformation.

The AWS Retail Competency Partners have demonstrated success in offering end-to-end solutions across Customer Engagement, Corporate Merchandising and Planning, Supply Chain and Distribution, Physical, Digital…

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