• Audio
  • Live tv
  • About Us
  • Contact Us
  • Privacy Policy
  • Terms of Service
Sunday, May 28, 2023
Morning News
No Result
View All Result
  • Login
  • Home
  • News
    • Local
    • National
    • World
  • Markets
  • Economy
  • Crypto
  • Real Estate
  • Sports
  • Entertainment
  • Health
  • Tech
    • Automotive
    • Business
    • Computer Sciences
    • Consumer & Gadgets
    • Electronics & Semiconductors
    • Energy & Green Tech
    • Engineering
    • Hi Tech & Innovation
    • Machine learning & AI
    • Security
    • Hardware
    • Internet
    • Robotics
    • Software
    • Telecom
  • Lifestyle
    • Fashion
    • Travel
    • Canadian immigration
  • App
    • audio
    • live tv
  • Home
  • News
    • Local
    • National
    • World
  • Markets
  • Economy
  • Crypto
  • Real Estate
  • Sports
  • Entertainment
  • Health
  • Tech
    • Automotive
    • Business
    • Computer Sciences
    • Consumer & Gadgets
    • Electronics & Semiconductors
    • Energy & Green Tech
    • Engineering
    • Hi Tech & Innovation
    • Machine learning & AI
    • Security
    • Hardware
    • Internet
    • Robotics
    • Software
    • Telecom
  • Lifestyle
    • Fashion
    • Travel
    • Canadian immigration
  • App
    • audio
    • live tv
No Result
View All Result
Morning News
No Result
View All Result
Home Tech Automotive

AI network detects drunkenness by evaluating infrared images of human faces with 93% accuracy

author by author
October 28, 2022
in Automotive, Machine learning & AI
Reading Time: 2 mins read
0 0
A A
0
0
SHARES
12
VIEWS
Share on FacebookShare on TwitterLinkedinReddit
face scan
Credit: Pixabay/CC0 Public Domain

A convolutional neural network can evaluate thermal infrared images of human faces and determine with 93% accuracy whether the person is drunk.

The system described in the International Journal of Intelligent Information and Database Systems could be implemented in places where drunk driving and drunken behavior are common problems. There are more than a million deaths worldwide each year from road traffic accidents, a large number of those are a direct result of drunkenness.

Kha Tu Huynh and Huynh Phuong Thanh Nguyen of Vietnam National University of Ho Chi Minh City explain that earlier efforts at developing a way to detect drunkenness have focused on eye state, head position, or functional state indicators. However, such systems might be confused by other factors. The team points out that analysis of thermal imaging offers a less ambiguous approach that is also non-invasive and could allow the authorities to screen people in city centers or at events where alcohol is likely to be consumed and people may opt to drive home.

The team points out that it is important that any system designed to identify inebriated people must have a very low rate of false positives and false negatives. After all, a false negative might see a drunk person driving their car whereas too many false positives would preclude sober drivers from using their vehicles and lead to frustration and a loss of trust in the system among the public.

There will always be a compromise in any such system, erring on the side of caution would be preferable, but optimizing the classification through larger training datasets on a diverse population of thermal images should bring it closer to the ideal, which would, of course, be the theoretically unachievable 100% accuracy with zero false positives, and zero false negatives.


Explore further

Using convolutional neural networks to analyze medical imaging


More information:
Kha Tu Huynh et al, Drunkenness detection using a CNN with adding Gaussian noise and blur in the thermal infrared images, International Journal of Intelligent Information and Database Systems (2022). DOI: 10.1504/IJIIDS.2022.10047468

Journal information:International Journal of Intelligent Information and Database Systems
Provided by
Inderscience

Citation:
AI network detects drunkenness by evaluating infrared images of human faces with 93% accuracy (2022, October 28)
retrieved 28 October 2022
from https://techxplore.com/news/2022-10-ai-network-drunkenness-infrared-images.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.

Set of 5 Clipper-mate Pocket Combs 5" All Fine Teeth

Avalon Coconut Body Lotion, 7 Ounce, Coconut, 7 ounces, 7 oz

face scan
Credit: Pixabay/CC0 Public Domain

A convolutional neural network can evaluate thermal infrared images of human faces and determine with 93% accuracy whether the person is drunk.

The system described in the International Journal of Intelligent Information and Database Systems could be implemented in places where drunk driving and drunken behavior are common problems. There are more than a million deaths worldwide each year from road traffic accidents, a large number of those are a direct result of drunkenness.

Kha Tu Huynh and Huynh Phuong Thanh Nguyen of Vietnam National University of Ho Chi Minh City explain that earlier efforts at developing a way to detect drunkenness have focused on eye state, head position, or functional state indicators. However, such systems might be confused by other factors. The team points out that analysis of thermal imaging offers a less ambiguous approach that is also non-invasive and could allow the authorities to screen people in city centers or at events where alcohol is likely to be consumed and people may opt to drive home.

The team points out that it is important that any system designed to identify inebriated people must have a very low rate of false positives and false negatives. After all, a false negative might see a drunk person driving their car whereas too many false positives would preclude sober drivers from using their vehicles and lead to frustration and a loss of trust in the system among the public.

There will always be a compromise in any such system, erring on the side of caution would be preferable, but optimizing the classification through larger training datasets on a diverse population of thermal images should bring it closer to the ideal, which would, of course, be the theoretically unachievable 100% accuracy with zero false positives, and zero false negatives.


Explore further

Using convolutional neural networks to analyze medical imaging


More information:
Kha Tu Huynh et al, Drunkenness detection using a CNN with adding Gaussian noise and blur in the thermal infrared images, International Journal of Intelligent Information and Database Systems (2022). DOI: 10.1504/IJIIDS.2022.10047468

Journal information:International Journal of Intelligent Information and Database Systems
Provided by
Inderscience

Citation:
AI network detects drunkenness by evaluating infrared images of human faces with 93% accuracy (2022, October 28)
retrieved 28 October 2022
from https://techxplore.com/news/2022-10-ai-network-drunkenness-infrared-images.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.
Tags: common problemsdrunk drivingfalse negativesfalse positivesroad traffic accidents
Previous Post

Former Ottawa police chief Peter Sloly testifies at Emergencies Act inquiry

Next Post

Helping blockchain communities fix bugs

Related Posts

Computer Sciences

A new method to boost the speed of online databases

May 28, 2023
11
Automotive

How cars ‘waste’ two thirds of their fuel

May 28, 2023
12
Next Post

Helping blockchain communities fix bugs

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

POPULAR TODAY

Business

Google loses bid to move DOJ’s antitrust suit to NY from Virginia

by author
May 27, 2023
0
12

Credit: CC0 Public Domain A federal judge on Friday said the Justice Department can sue Alphabet Inc.'s Google in Virginia,...

Egypt

Egypt unveils recently discovered ancient workshops, tombs in Saqqara necropolis

May 28, 2023
12
Alabama quarterback Bryce Young gets a jersey from NFL Commissioner Roger Goodell after being chosen by Carolina Panthers with the first overall pick during the first round of the NFL football draft, Thursday, April 27, 2023, in Kansas City, Mo. (AP Photo/Jeff Roberson)

Panthers take Bryce Young at No. 1 overall in NFL draft

May 28, 2023
12

Toronto police trying to identify victim who was dumped unconscious on sidewalk from trunk of car

May 28, 2023
12

Ottawa River expected to peak by Friday as water floods streets and properties in Ottawa-Gatineau

May 27, 2023
12

POPULAR NEWS

Dutch government to restrict sales of processor chip tech

May 15, 2023
33
Here’s what happens to NFTs when you die: Nifty Newsletter, April 12–18

Here’s what happens to NFTs when you die: Nifty Newsletter, April 12–18

May 19, 2023
31

Loans decline after SVB failure, Fed’s Beige Book finds, and add to stress on the economy

May 19, 2023
27
Several travel industry groups said that a travel advisory for Florida issued by the NAACP could harm small businesses in the state, specifically Black-owned ones.

Travel groups say NAACP’s Florida advisory misses the mark

May 23, 2023
22
Paul Edmonds (center) with two healthcare providers from City of Hope.

How a Breakthrough Treatment Helped ‘Cure’ This Man of HIV

May 23, 2023
18

EDITOR'S PICK

police tape
Local

Man wanted for murder in Quebec arrested in Mississauga following probe into rash of vehicle thefts

by author
May 18, 2023
0
11

Halton police have arrested three people in connection with a rash of vehicle thefts, including one who was wanted for...

Read more

It’s CPI day: ‘Calmer inflation means lower mortgage rates — eventually’ and food inflation slowed in March, but some items are still up by 36%

Heather Rae El Moussa Says ‘It Was A Breath Of Fresh Air’ Filming ‘Selling Sunset’ After Christine Quinn’s Exit

Residents concerned after asbestos found in Vancouver Island water pipes

Twitter to launch crypto and stock trading in partnership with eToro: Reports

Morning News

Welcome to our Ads

Create ads focused on the objectives most important to your business Please contact us info@morns.ca

PBMIY 3 in 1 15W Foldable Fast Wireless Charger Stand Compatible with iPhone 13/12/11Pro/Max/XR/XS Max/X

Modern Nightstand Bedside Desk Lamp Set of 2 for Bedroom, Living Room,Office, Dorm, Gold

Backup Camera for Car HD 1080P 4.3 Inch Monitor Rear View System Reverse Cam Kit Truck SUV Minivan Easy Installation

OPI Natural Nail Base Coat, Nail Polish Base Coat, 0.5 fl oz

  • Home
  • Audio
  • Live tv
  • About Us
  • Contact Us
  • Privacy Policy
  • Terms of Service

© 2022 Morning News - morns.ca by morns.ca.

No Result
View All Result
  • Home
  • News
    • Local
    • National
    • World
  • Markets
  • Economy
  • Crypto
  • Real Estate
  • Sports
  • Entertainment
  • Health
  • Tech
    • Automotive
    • Business
    • Computer Sciences
    • Consumer & Gadgets
    • Electronics & Semiconductors
    • Energy & Green Tech
    • Engineering
    • Hi Tech & Innovation
    • Machine learning & AI
    • Security
    • Hardware
    • Internet
    • Robotics
    • Software
    • Telecom
  • Lifestyle
    • Fashion
    • Travel
    • Canadian immigration
  • App
    • audio
    • live tv
  • Login

© 2022 Morning News - morns.ca by morns.ca.

Welcome Back!

Sign In with Facebook
Sign In with Google
Sign In with Linked In
OR

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
Go to mobile version