MENU

Edge

MENU

Edge

What happens when smart sensors move intelligence to the edge?

What happens when smart sensors move intelligence to the edge?

Not all that long ago deploying a diverse set of sensors was an expensive, often proprietary, commercial endeavor with limited reach. Today, the game has changed and sensor networks have become an increasingly omnipresent part of the world around us.

What does it mean to live, work, and play in an environment that is continually capturing data? 

How can Open Source tech innovation help us understand the opportunities…and the risks associated with this new reality?

Dramatic reductions in component costs and ubiquitous access alternative hardware supply chains have catalyzed global DIY community innovation in this space. Anyone with access to Amazon, GitHub, Substack, and perhaps a 3D printer can create integrated systems of low-cost hardware, Open Source software, and lightweight machine learning models to collect a wide range of data.

These may be 80% solutions compared to state-of-the-art commercial products, but they are a fraction of the cost, robust, and increasingly making autonomous decisions about what data is of value – all while unlocking new possibilities of what can be monitored. Cameras can now count objects instead of capturing images. Road sensors can weigh trucks instead of just measuring vibrations. Every signal from a mobile phone can be parsed to the nth degree.

It is an evolution completely transforming the way we measure and understand both ourselves, and the wider world around us. As a team, we are continually exploring the ramifications of this shift in our environment.

Related Content

Eating Every Last Slice of Your Raspberry Pi – GPU Offload on a Pi4

  • Blog, Edge, Home: Position 03
Quick Look
  • Blog, Edge, Home: Position 03

Eating Every Last Slice of Your Raspberry Pi – GPU Offload on a Pi4

IQT Labs has been experimenting using Raspberry Pi4s and Software Defined Radios (SDR) as an on-the-go platform, through the GamutRF project. Learn how we made GamutRF, running on a Pi4, more responsive and reliable by utilizing the built-in GPU to perform fast Fourier transforms.
LEARN MORE

Explore AI Sonobuoy: IQT Labs Throws TinyML in the Deep End

  • Blog, Edge
Quick Look
  • Blog, Edge

Explore AI Sonobuoy: IQT Labs Throws TinyML in the Deep End

What happened when we dropped one of our latest creations out of a boat? Read on to learn about the story of the AI Sonobuoy — a low-cost hydrophone that uses AI to process sound data collected at sea:
LEARN MORE
  • Project

Birdseye on RF

Using low-cost sensors to locate the source of an RF signal

  • Edge
Quick Look
  • Edge

Birdseye on RF

Using low-cost sensors to locate the source of an RF signal

These days there are all kinds of invisible signals in the environment around us. If you see a problematic consumer drone in your area, how do you find its operator? In the Birdseye project, we simulated the use of mobile, low-cost sensors to geolocate a moving RF-signal. More specifically, we simulated the collection of RF signals coming off a commercial drone flying overhead to see if we could use it to locate its controller.
LEARN MORE
  • Project

Daedulus

DIY Open Source cell towers for research

  • Edge
Quick Look
  • Edge

Daedulus

DIY Open Source cell towers for research

This project spun up a fully operational 5G mobile phone infrastructure based on Open Source code and low cost commercially available Software Defined Radios and Computers.
LEARN MORE
  • Project

AI Sonobuoy

Designing a $100 AI-Enabled Sonobuoy

  • Edge
Quick Look
  • Edge

AI Sonobuoy

Designing a $100 AI-Enabled Sonobuoy

You can now do a lot more with a lot less when it comes to deploying AI systems. Low-power edge inference techniques are fundamentally changing the design of fieldable smart sensors. This project is looking at the evolution of design in AI enabled, acoustic sensors that live at the edge by designing and fielding a smart hydrophone.
LEARN MORE
  • Project

SkyScan

Automatic collection of labeled datasets

  • Data, Edge
Quick Look
  • Data, Edge

SkyScan

Automatic collection of labeled datasets

Quickly and efficiently building and labeling image datasets for machine learning applications can be a prohibitively time-consuming and expensive activity. SkyScan demonstrates a low-cost system that can capture images of aircraft in flight and automatically label the image with captured metadata.
LEARN MORE
  • BLOG

Exploring and Experimenting with Event Cameras

  • Edge
Quick Look
  • Edge

Exploring and Experimenting with Event Cameras

Event cameras are like an Etch A Sketch with version control built in. Piqued your interest? This blog details how we investigated and experimented with event cameras.
LEARN MORE
  • BLOG

Resilient Power Management for Low-Cost Remote Systems

  • Edge
Quick Look
  • Edge

Resilient Power Management for Low-Cost Remote Systems

Learn how we developed an Open Source power management system and displayed its practical remote sensing applications in stormy New Zealand weather conditions.
LEARN MORE
  • BLOG

The Teachable Camera Hardware

  • Edge
Quick Look
  • Edge

The Teachable Camera Hardware

Interested in learning how we built our own teachable camera, or perhaps you’re thinking of building your own? This blog details the electronics used and the different hardware configurations we developed and tested to make Teachable Camera possible.
LEARN MORE
  • BLOG

The Teachable Camera

  • Edge
Quick Look
  • Edge

The Teachable Camera

Beatrix Potter's The Tale of Peter Rabbit might have turned out differently if Mr. McGregor, the gardener and antagonist in the classic children's book, had employed the technology embodied in the Teachable Camera, a new Open Source computer vision hardware and software kit we created. This blog explores the underlying technology of this kit and uses the story of Peter Rabbit to explain how computer vision and the Teachable Camera can be used to monitor remote locations.
LEARN MORE
  • Git Repo

Teachable Camera GitHub Repo

  • Edge
Quick Look
  • Edge

Teachable Camera GitHub Repo

Object detection at the edge, with Google's Coral dev board.
LEARN MORE
  • Git Repo

SkyScan GitHub Repo

  • Build, Edge
Quick Look
  • Build, Edge

SkyScan GitHub Repo

Automatically photograph planes that fly by!
LEARN MORE
  • Git Repo

AISonobuoy GitHub Repo

  • Build, Edge
Quick Look
  • Build, Edge

AISonobuoy GitHub Repo

An exploration of maritime situational awareness.
LEARN MORE
About
Explore
Projects
Contact

Copyright © 2022 · IQT Labs LLC.  All Rights Reserved.

Twitter Github

Terms of Use | Privacy Policy

CLOSE
ABOUT
EXPLORE
EDGE
DATA
TRUST
PROJECTS
CONTACT

We use cookies to offer you a better experience. By continuing to use this website, you consent to the use of cookies in accordance with our Privacy Policy. Read More

Accept