Seeing Machines LimitedLSE: SEE

AGM – reminder and correction of login details

· Issued by Seeing Machines Limited

Seeing Machines Limited ("Seeing Machines" or the "Company")

24 November 2023

Seeing Machines AGM - reminder and correction of login details

Seeing Machines Limited (AIM: SEE, "Seeing Machines" or the "Company"), the advanced computer vision technology company that designs AI-powered operator monitoring systems to improve transport safety, wishes to remind investors that its Annual General Meeting (AGM) will be held at the Company's head office at 80 Mildura Street, Fyshwick ACT 2609, Australia at 5pm Australian Eastern Daylight Time (AEDT) on Wednesday 29 November 2023.

The AGM will be held as a hybrid meeting, which means shareholders can attend online or in person.

Shareholders attending the meeting online can ask questions and vote during the AGM via the online platforms outlined below.

Please note these details are a correction to the previously communicated details:

https://www.microsoft.com/en-us/microsoft-teams/join-a-meeting

Teams Meeting ID: 442 844 039 70 Passcode: 8zx5wj

Online Voting Platform: https://meetnow.global/MFL9Y6N

As this was a clerical error, no new documents will be posted to shareholders, but copies of the corrected Notice of AGM will shortly be available on the Seeing Machines website at www.seeingmachines.com/investors in accordance with AIM Rule 20.

Enquiries:

Seeing Machines Limited

+61 2 6103 4700

Paul McGlone - CEO

Sophie Nicoll - Corporate Communications

Stifel Nicolaus Europe Limited (Nominated Adviser and Broker)

+44 20 7710 7600

Alex Price

Fred Walsh

Nick Adams

Ben Burnett

Dentons Global Advisors (Media Enquiries)

James Styles
Jonathon Brill

Methuselah Tanyanyiwa

seeingmachines@dentonsglobaladvisors.com

+44 20 7664 5095

About Seeing Machines (AIM: SEE), a global company founded in 2000 and headquartered in Australia, is an industry leader in vision-based monitoring technology that enable machines to see, understand and assist people. Seeing Machines' technology portfolio of AI algorithms, embedded processing and optics, power products that need to deliver reliable real-time understanding of vehicle operators. The technology spans the critical measurement of where a driver is looking, through to classification of their cognitive state as it applies to accident risk. Reliable "driver state" measurement is the end-goal of Driver Monitoring Systems (DMS) technology. Seeing Machines develops DMS technology to drive safety for Automotive, Commercial Fleet, Off-road and Aviation. The company has offices in Australia, USA, Europe and Asia, and supplies technology solutions and services to industry leaders in each market vertical.

www.seeingmachines.com