Less Ads, More Data, More Tools Register for FREE

Pin to quick picksSeeing Machines Regulatory News (SEE)

Share Price Information for Seeing Machines (SEE)

Share Price is delayed by 15 minutes
Get Live Data
4.65    0.10 (2.20%)
Bid:
4.65
Ask:
4.70
Spread: 0.05 (1.075%)
Market Cap: £223.18m
SEE Live PriceLast checked at - London Stock Exchange

Intraday Seeing Machines Share Chart

3D Cabin Perception Mapping breaks new ground

13 Jan 2026 12:00

RNS Number : 6713O
Seeing Machines Limited
13 January 2026
Β 

PRESS RELEASE

Β 

Seeing Machines breaks new ground at CES 2026 with 3D Cabin Perception Mapping

Next-generation architecture delivers real-time, in cabin understanding and accelerates scalable safety innovation to support future mobility

Canberra, Australia - 13 January 2026: Seeing Machines, a global leader in vision-based safety technology, today announced the successful debut of its next-generation 3D Cabin Perception Mapping platform at CES 2026, marking a significant step forward in real-time in cabin monitoring intelligence for future mobility.

While exterior perception mapping in automated driving focuses on a multi-sensor reconstruction of the vehicle's surrounding environment, the Seeing Machines 3D perception mapping solution demonstrated live at CES delivers a comprehensive, real-time digital reconstruction of inside the vehicle cabin, enabling a holistic, accurate and scalable approach to interior sensing. Built on a "clean-sheet" architecture, the platform is designed to support multiple cameras, multiple occupants and a wide range of features, all from a single, high-trust perception layer.

Unlike traditional feature-by-feature approaches, Seeing Machines' 3D Cabin Perception Mapping solves for the entire cabin simultaneously, improving consistency across features and maintaining accuracy even in the presence of intermittent or noisy sensor data.

The architecture provides a powerful abstraction layer that decouples feature development from underlying camera configurations and raw sensing implementations. This allows features to be built once and deployed seamlessly across multiple product configurations, reducing development effort, cost and time to market.

"This is a fundamental shift in how interior sensing systems are designed and deployed and the feedback from our CES engagements has been overwhelmingly positive," said John Noble, Chief Technology Officer at Seeing Machines. "By moving from feature-specific pipelines to a unified 3D perception of the cabin, we enable higher accuracy, consistency and scalability. Importantly, this platform will allow our customers to evolve their individual feature strategies, while dramatically lowering the cost and complexity of developing new safety and user experience capabilities."

The platform is designed to extend beyond automotive applications, with potential use cases across robotics and other human-machine interaction environments, including human-robot interaction (HRI) environments,Β where accurate and scalable perception of people and space is critical. The architecture also supports a mix-and-match approach to 3D technologies, enabling deployment flexibility as sensing hardware and use cases evolve.

Seeing Machines' CES 2026 showcase reinforces the company's commitment to advancing integrated, vision-based safety systems that support the next generation of intelligent, human-centred mobility.

Key CES 2026 Demonstration Features

Real-time digital reconstruction of an automotive cabin environment was showcased, including:

3 cameras covering 3 rows of seating with support for up to 7 vehicle occupants;Body size, shape and a full 3D pose solution for all occupants, including height and weight classification;Out-of-position detection for all occupants, for example, occupant reclining, feet on dash, near-airbag detection for driver;Seat configuration, for example, headrest presence, seat position and recline angle;Child seat detection across entire cabin; andRandom object detection across cabin, for example, phones, bags and boxes

~ends~

About Seeing Machines (LSE: SEE)

Seeing Machines is a global company founded in 2000, headquartered in Australia and is an industry leader in vision-based monitoring technology that enable machines to see, understand and assist people. Seeing Machines is revolutionising global transport safety with. its technology portfolio of AI algorithms, embedded processing and optics, that power products which must 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 and Occupant Monitoring System (DMS/OMS) technology that Seeing Machines develops 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

Β 

Seeing Machines contacts:

- Media/investor: Sophie Nicoll, sophie.nicoll@seeingmachines.com, +61 419 149 683

- Sales: Lori Markatos, lori.markatos@seeingmachines.com

This information is provided by Reach, the non-regulatory press release distribution service of RNS, part of the London Stock Exchange. Terms and conditions relating to the use and distribution of this information may apply. For further information, please contact rns@lseg.com or visit www.rns.com.RNS may use your IP address to confirm compliance with the terms and conditions, to analyse how you engage with the information contained in this communication, and to share such analysis on an anonymised basis with others as part of our commercial services. For further information about how RNS and the London Stock Exchange use the personal data you provide us, please see our Privacy Policy.
Β 
END
Β 
Β 
NRAQXLBFQFLZBBF
Date   Source Headline
20th Dec 20237:00 amRNSSeeing Machines announces US$30M European OEM win
13th Dec 20238:02 amRNSSeeing Machines welcomes U.S. NHTSA announcement
12th Dec 20237:00 amRNSSeeing Machines Wins Prestigious Road Safety Award
29th Nov 20237:57 amRNSResult of AGM
24th Nov 20237:00 amRNSAGM – reminder and correction of login details
8th Nov 20237:00 amRNS16th Automotive program awarded & Q1 FY2024 KPIs
6th Nov 202311:26 amRNSDirector/PDMR Shareholding
31st Oct 202311:50 amRNSDirector/PDMR Shareholding
31st Oct 20237:00 amRNSNotice of AGM
27th Oct 20237:19 amRNSDirector/PDMR Shareholding
27th Oct 20237:13 amRNSDirector/PDMR Shareholding
25th Oct 20237:55 amRNSDirector/PDMR Shareholding
25th Oct 20237:00 amRNSBoard Changes
20th Oct 20239:30 amRNSDirector/PDMR Shareholding
20th Oct 20239:21 amRNSDirector/PDMR Shareholding
19th Oct 20238:47 amRNSDirector/PDMR Shareholding
18th Oct 202310:06 amRNSDirector/PDMR Shareholding
17th Oct 20239:41 amRNSDirector/PDMR Shareholding
16th Oct 20237:00 amRNSYear End Results – FY2023
16th Oct 20237:00 amRNSDevelopment of aviation fatigue detection solution
14th Sep 20237:00 amRNSNotice of Full Year Results 2023
7th Sep 20235:31 pmRNSDirector/PDMR Shareholding
22nd Aug 20237:00 amRNSFY2023 Trading Update & Q4 KPIs
18th Jul 20237:30 amRNSDirector/PDMR Shareholding
30th Jun 20237:00 amRNSDirector/PDMR Shareholding
30th Jun 20237:00 amRNSCEO Incentive Plan
28th Jun 20231:44 pmRNSDirector/PDMR Shareholding
28th Jun 20237:00 amRNSDirector/PDMR Shareholding
26th Jun 202311:38 amRNSDirector/PDMR Shareholding
23rd Jun 20238:55 amRNSDirector/PDMR Shareholding
20th Jun 20237:30 amRNSCollaboration with synthetic data specialist
19th Jun 20238:00 amRNSSeeing Machines to attend Stifel Tech Conference
25th May 20239:53 amRNSDirector/PDMR Shareholding
22nd May 20239:46 amRNSDirector/PDMR Shareholding
16th May 20237:00 amRNSExclusive Agreement Signed with Collins Aerospace
4th May 20237:00 amRNSKey Performance Indicators Q3 FY2023
17th Apr 20239:29 amRNSDirector/PDMR Shareholding
13th Apr 202312:36 pmRNSDirector/PDMR Shareholding
11th Apr 202311:15 amRNSPDMR Shareholding
6th Apr 20232:45 pmRNSDirector/PDMR Shareholding
5th Apr 20239:08 amRNSPDMR Shareholding
31st Mar 202312:26 pmRNSPDMR Shareholding
29th Mar 202311:55 amRNSDirector/PDMR Shareholding
28th Mar 202311:28 amRNSPDMR Shareholding
27th Mar 202310:12 amRNSDirector/PDMR Shareholding
27th Mar 202310:07 amRNSDirector/PDMR Shareholding
24th Mar 202311:56 amRNSPDMR Shareholding
24th Mar 20238:59 amRNSDirector/PDMR Shareholding
22nd Mar 20239:16 amRNSPDMR Shareholding
17th Mar 20239:03 amRNSDirector/PDMR Shareholding

Due to London Stock Exchange licensing terms, we stipulate that you must be a private investor. We apologise for the inconvenience.

To access our Live RNS you must confirm you are a private investor by using the button below.