• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer
  • Subscribe
  • Advertise

Sensor Tips

Sensor Product News, Tips, and learning resources for the Design Engineering Professional.

  • Motion Sensing
  • Vision systems
    • Smart cameras
    • Vision software
    • Lighting
    • Optics
  • Pressure
  • Speed
  • Temperature
  • Suppliers
  • Video
    • EE Videos
    • Teardown Videos
  • EE Learning Center
    • Design Guides
    • Tech Toolboxes

How does AI use sensors for object recognition? Pt 2

September 22, 2023 By Randy Frank

In addition to healthcare, another prominent use of object recognition has emerged as the capability to see further than ever before has increased dramatically. The James Webb Space Telescope’s (JWST’s) ability to see further also results in a considerable increase in astronomical images. Sifting through these images for new information about the beginnings of the universe or cosmos is an ideal application for artificial intelligence (AI).

The COSMOS-Webb program uses a machine learning model known as Morpheus to examine pictures for pixel-level morphological classifications of cosmological images. To do this, a team of researchers are surveying half a million galaxies from a region of the sky looking for the oldest, fully-formed galaxies.

The images come from COSMOS-Near-Infrared Webb’s Camera (NIRCam) resulting from more than 200 hours of observation. Also, a Mid-Infrared Instrument (MIRI) concurrently maps a smaller region for additional analysis. Operating in the mid-infrared range, MIRI provides exceptional sensitivity and offers four observing modes. These include: imaging, coronography, low-resolution spectroscopy, and medium-resolution integral field spectroscopy.

With multi-band, high-resolution near-infrared imaging and 32,000 galaxies in the mid-infrared region, COSMOS-Webb will examine half a million galaxies to learn more about the universe in a way that has not been previously possible. Using machine learning software, several types of algorithms are used to improve JWST’s vision and the quality of the final images.

Look! Up in the sky! It’s a bird! It’s a plane! It’s ???

Nearer to home, government organizations such as NASA, and others are now (Dec. 22, 2022) talking about unidentified anomalous phenomena (UAP) which was previously termed unidentified aerial phenomena (UAP) to avoid the antiquated unidentified flying object (UFO) term. With an object from outside of our solar system, Oumuamua, discovered in Oct.19, 2017, the reality of interstellar objects and interest in them has increased.  In addition to NASA’s Near-Earth Object Observations (NEOO) Program that funded the University of Hawaii’s Pan-STARRS1 telescope that identified Oumuamua, Harvard University’s Galileo Project is providing  analysis of open scientific data collected using optimized instruments. The Galileo Projects three major avenues of research include:

  • Obtain high-resolution, multi-detector UAP Images and discover their nature
  • Search for and in-depth research on ‘Oumuamua-like interstellar objects
  • Search for potential extraterrestrial craft (ETC) satellites

To obtain high contrast imaging, each telescope in the project will be part of a detector array of orthogonal and complementary capabilities from radar, Doppler radar and high-resolution synthetic aperture radar to high-resolution, large camera visible range, and infrared band telescopes. Researchers expect extensive artificial intelligence/deep learning (AI/DL) and algorithmic approaches to differentiate targeted technological objects of interest from false alarms caused by birds, balloons, commercial or consumer drones, and satellites.

With its SkyCAM-5, Julius Maximillians University of Wurzburg has been continuously monitoring the sky for UAPs since December 2021.  The test platform for the autonomous detection of UAPs uses image processing algorithms with machine learning models applied to reduce false positive detections.

To filter out extraneous known objects, such as birds, insects or helicopters, are detected and filtered out by a convolutional neural network (CNN). Operators plan to extend the system in the future by adding elements and features in the future such as multiply sensors (cameras), a tracking system, and more.

References

How AI Enabled James Webb Space Telescope to Capture Stellar Images of Space, https://analyticsdrift.com/how-ai-enabled-james-webb-space-telescope-to-capture-stellar-images-of-space/

NASA Announces Unidentified Anomalous Phenomena Study Team Members, https://www.nasa.gov/feature/nasa-announces-unidentified-anomalous-phenomena-study-team-members/

https://hellofuture.orange.com/en/ai-is-facilitating-the-exploitation-of-the-astronomical-amount-of-space-data/

‘Oumuamua, https://solarsystem.nasa.gov/asteroids-comets-and-meteors/comets/oumuamua/in-depth/

Galileo Project, https://projects.iq.harvard.edu/galileo/activities

SkyCAM-5, SkyCAM-5 – (uni-wuerzburg.de)

You may also like:


  • How does AI use sensors for object recognition?

Filed Under: Artificial intelligence (AI), Featured, Frequently Asked Question (FAQ), Image sensing, Vision systems Tagged With: julius maximillians university of wurzburg

Primary Sidebar

Featured Contributions

Integrating MEMS technology into next-gen vehicle safety features

Fire prevention through the Internet

Beyond the drivetrain: sensor innovation in automotive

Sensors in American football can help the game

Select and integrate sensors into IoT devices

More Featured Contributions

EE TECH TOOLBOX

“ee
Tech Toolbox: 5G Technology
This Tech Toolbox covers the basics of 5G technology plus a story about how engineers designed and built a prototype DSL router mostly from old cellphone parts. Download this first 5G/wired/wireless communications Tech Toolbox to learn more!

EE LEARNING CENTER

EE Learning Center
“sensor
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, tools and strategies for EE professionals.

RSS Current EDABoard.com discussions

  • Cadence LVS bug I do not understand on 12T XOR gate
  • Resistor Selection for Amplifier Layout
  • Permittivity and Permealibility in CST
  • Testing 5kW Grid Tied inverter over 200-253VAC
  • Single ended measuring ports and balanced antenna

RSS Current Electro-Tech-Online.com Discussions

  • Can I make two inputs from one??
  • Beats Solo 4
  • Behlke swich
  • Is AI making embedded software developers more productive?
  • Simple LED Analog Clock Idea

EE ENGINEERING TRAINING DAYS

engineering
“bills

RSS Featured White Papers

  • 4D Imaging Radar: Sensor Supremacy For Sustained L2+ Vehicle Enablement
  • Amphenol RF solutions enable the RF & video signal chains in industrial robots
  • Implementing Position Sensors for Hazardous Areas & Safety

DesignFast

Component Selection Made Simple.

Try it Today
design fast globle

Footer

EE WORLD ONLINE NETWORK

  • 5G Technology World
  • EE World Online
  • Engineers Garage
  • Analog IC Tips
  • Battery Power Tips
  • Connector Tips
  • DesignFast
  • EDA Board Forums
  • Electro Tech Online Forums
  • EV Engineering
  • Microcontroller Tips
  • Power Electronic Tips
  • Test and Measurement Tips

SENSOR TIPS

  • Subscribe to our newsletter
  • Advertise with us
  • Contact us
  • About us

Copyright © 2025 · WTWH Media LLC and its licensors. All rights reserved.
The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media.

Privacy Policy