Why Seeing Machines should be included in the ‘Humanoid 100’.

As Morgan Stanley recently outlined in a broker note, robots represent the physical embodiment of AI, which appears to be why they are in the process of becoming THE hottest sector of tech. Yet, despite producing a brilliant note Morgan Stanley has overlooked one key player in its round-up of the top 100 players; Seeing Machines.

That may well be because, unlike the likes of Mobileye, Alphabet and Meta it has a miniscule market cap and resides in a stockmarket slum called AIM. Regardless, someone soon is going to want to marry this beauty. Let me explain why.

To quote the broker note of 6th February: “The physical embodiment of AI touches a $60tn Total Addressable Market (TAM), global GDP, and the meaning of work.”

In that note Morgan Stanley presented the ‘Humanoid 100’, which it described as “a global mapping of equities across a range of sectors and regions that may have an important role in bringing robots from the lab to your living room”.

It used this graphic to illustrate a rudimentary division of these companies into those developing the brain and body value chains.

I’d argue that Seeing Machines should be included in the portion of the Brain (Vision & Compute Semiconductors), which as it currently stands is overly simplistic. For true robots to be successful they will need to develop an understanding of the cognitive state of humans, perhaps even display traits we’d associate with empathy. 

I think SEE sits in the same niche as Mobileye in that diagram. “These are the companies producing semiconductors that are the core of the robot “brain”, allowing robots to learn from, perceive, and/or interact with their environments. Vision-focused semis lie at the edge and allow robots to visualize their environments,” states the note. However, Seeing Machines does something special: it allows robots to visualise humans


It is Seeing Machines, with its software and hardware, that can literally breathe life into robots. As Victor Frankenstein would have exclaimed: “It will pioneer a new way, explore unknown powers, and unfold to the world the deepest mysteries of creation.”

Mobile robots

Still skeptical? Well, Seeing Machines is displaying that technological capability and is applying it to mobile robots; cars, with its AI-powered driver monitoring.

Its technology uses advanced machine vision technology to precisely measure and analyse head pose, eyelid movements and eye gaze under a full spectrum of demanding in-vehicle lighting conditions. This data is then processed to interpret driver attention state, drowsiness, and impairment levels.

That same technology is also enabling an eco-system that provides highly intelligent vehicle interfaces that employ AI to not just respond to speech commands, but to understand more subtle cues from occupants as indicated by hand gestures and eye movements.

Is it so fanciful to imagine that in the near future the ability to assess reduced cognitive ability and understand more subtle clues could be vital for ‘care’ robots used to look after elderly or vulnerable charges. 

Recognition of its ability in the transport sector has brought partners rushing to sign deals with Seeing Machines – many of whom feature in the ‘Humanoid 100’ list. Yet, its latent qualities in the sphere of robotics remains unrecognised by most. Hence, its current market cap belies the true value within. That cannot last much longer
 Do you hear wedding bells?

The writer holds stock in Seeing Machines.

Waymo good news for Seeing Machines: part 2

Interest from US investors in Driver Monitoring is set to take off as it is becoming clear that it offers the means to prevent the deadly death toll on US roads.

Adam Jonas, Morgan Stanley’s star auto analyst, published a note on 24 March, 2021, entitled: ‘What’s on My Mind? Motor Vehicle Safety — A New ESG Frontier’.

In that note he cited a recent report from the National Safety Council (NSC) in which it detailed that despite an historic fall in miles travelled and safer vehicle designs, the number of US motor vehicle related deaths in 2020 hit a 13-year high of 42,600.

Also, according to the study, for every US road death there are 114 ‘medically consulted injuries’, resulting in nearly 4.8m vehicle-related injuries last year.

That represents a huge, avoidable cost to its society, which the NSC calculates at a staggering US$474bn, or roughly 2.2% of US GDP.

Given that cost, Jonas writes: “We believe such tragic statistics may accelerate a range of policies (at the Federal level and otherwise) that may in turn accelerate changes of key ADAS technologies in the US fleet.” He adds: “The average age of a car in the US is over 12 years, amongst the highest of any developed nation in the world. We have long discussed the potential for taypayer/policy actions to accelerate the scrapping and replacement of US vehicles.”

His takeaway is that, while there has been plenty of focus on the climate-related impact of today’s vehicle tech: “We see scope for greater attention to be paid to life-saving/ADAS/autonomous related technology.”

Fortunately, Seeing Machines is at centre of this life-saving technology and interest from US investors is clearly accelerating. 

Moreover, as more and more vehicles are driven in the US with its tech (Ford F-150 and Mach-e, as well as GM Cadillacs) interest will only grow.

Waymo

This will of course be helped by Seeing Machines publicly acknowledging its involvement and RNSing such news. For example, as Colin Barnden of Semicast Research confirmed in an article this week, it has supplied its tech to Waymo.

This blog first wrote about Seeing Machines supplying Waymo back in 2018, still it is about time we had it confirmed via an official RNS — especially given the announcement by Colin Barnden. 

Regardless, I expect Seeing Machines to be rerated imminently (not a word beloved of its investors) as more US investors and analysts realise it is not a jam tomorrow stock but a jam factory gearing up production.

The writer holds stock in Seeing Machines.

 

       

 

 

         

     

    

     

    

    

    

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