Seeing Machines

Seeing Machines Employee Directory

IT Services and IT ConsultingAustralian Capital Territory, Australia201-500 Employees

Seeing Machines is a global company headquartered in Canberra, Australia delivering safety technology to transport industries across the world. 

An industry leader in computer vision technologies which enable machines to see, understand and assist people, Seeing Machines’ machine learning vision platform has the know-how to deliver real-time identification and understanding of drivers through AI analysis of heads, faces and eyes. This insight enables Driver Monitoring System (DMS) technology, which monitors driver and operator attention state including the detection of drowsiness and distraction.

Seeing Machines develops DMS for the Automotive, Commercial Fleet, Aviation, Rail and Off-Road markets. The company works with some of the world’s largest transport brands and has offices in Australia, USA, Europe and Asia, to deliver multi-platform solutions to industry leaders in each vertical.

We exist to get people home safely.

Seeing Machines Global Highlights

Location
Employees

Oceania
413

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  • Australia
    412
  • New Zealand
    1

North America
76

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  • United States Of America
    75
  • Canada
    1

Europe
17

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  • United Kingdom Of Great Britain And Northern Ireland
    10
  • Netherlands
    4
  • France
    2
  • Germany
    1

Asia
13

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  • Japan
    2
  • India
    2
  • Viet Nam
    2
  • United Arab Emirates
    2
  • Nepal
    1
  • Pakistan
    1
  • Singapore
    1
  • Indonesia
    1
  • China
    1

South America
7

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  • Chile
    7

Africa
1

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  • Zambia
    1

Seeing Machines's Leadership

Seeing Machines Employee Metrics

100%
50%
0%
2024
2023
  • Engineering
  • Analytics
  • Program & Project Management
  • Research
  • Product Management
  • Other
  • Support

Contact profiles from Seeing Machines

Name
Title
Contact Info
Location
Last Update
  • Stylized image of a person
    J. A. A.
    Head Of Advanced Embedding | Department Head | Innovation Group
    AustraliaAustralian Capital Territory
    Jun 04, 2024
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    R. W.
    Vice President Business Development - Mining Division
    Apr 28, 2024
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    S. R.
    Chief Scientist, Machine Intelligence
    AustraliaAustralian Capital Territory
    Jul 08, 2024
  • Stylized image of a person
    K. Z.
    Vice President, Global Program Delivery
    AustraliaAustralian Capital Territory
    Mar 21, 2024
  • Stylized image of a person
    D. A.
    Vice President - Global Quality Engineering, Fusa , Sw Aspice, Product Cysec, Tls Eng
    AustraliaAustralian Capital Territory
    Mar 21, 2024
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    B. D.
    Sr VP Engineering
    United StatesOregon
    Aug 06, 2024
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    B. W.
    Vp Business Development - Mining Division
    United StatesArizona
    Jul 07, 2024
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    G. C.
    Vp Automotive
    Jul 07, 2024
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    S. N.
    Vp, Corporate Communications
    AustraliaAustralian Capital Territory
    May 25, 2023
  • Stylized image of a person
    R. A.
    Head Of Operations And Programs Aimsee "seeing Machines"
    AustraliaQueensland
    Jan 14, 2024

Frequently Asked Questions

What is Seeing Machines known for?

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Seeing Machines was founded in 2001 operates in the IT Services and IT Consulting industry. The company's main headquarters is located in 80 Mildura St Fyshwick, Australian Capital Territory 2609 AU; you can contact the main corporate office by phone at +1-520-308-4170. Explore Seeing Machines's company overview page for more information.

What is Seeing Machines's most common email format?

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Seeing Machines employees' email format typically follows the pattern of . Trying to find reliable and up-to-date employee contact data? Find more Seeing Machines email formats with LeadIQ.

How many employees does Seeing Machines have currently?

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Seeing Machines has approximately 485 employees as of June 2024. These team members are located across 6 continents, including OceaniaNorth AmericaEurope.

Who are Seeing Machines's key employees and leadership?

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As of June 2024, Seeing Machines's key employees include:

  • Chief Executive Officer: F. A.
  • Chief Information Officer: A. B. C.
  • Chief Financial Officer: M. I.
  • Chief Science & Innovation Officer: M. L.
  • Chief Scientist, Machine Intelligence: S. R.

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