Investor's Corner
Tesla patents AR-based system for faster, more accurate vehicle production
Being a company led by an unorthodox CEO with roots in Silicon Valley, Tesla is on the bleeding edge of the automotive market. Tech is evident in Tesla’s DNA, from the automation in its factories to the deep integration of software on its electric vehicles. If a recently published patent is any indication, even more tech-driven solutions are coming to Tesla’s production lines.
A recent patent, dubbed as “Augmented Reality Application for Manufacturing,” was published last Thursday. In the description of the patent, Tesla noted that existing automotive manufacturing techniques are time-consuming and still require a notable amount of manual calibration and inspection. An example of this is the practice of marking joints and/or inspecting dimensional accuracy of car components by having workers manually overlay plastic molds over a sheet metal object to mark certain parts. These processes take a lot of time and effort, resulting in extra operational costs.
Tesla’s solution is rather simple. Instead of using manual processes to perform tasks that include setup, configuration, calibration, and quality inspection, it would be better to utilize available technologies to make operations faster and more precise. One of these technologies is computer vision and augmented reality tools.
Tesla’s patent uses AR applications and computer vision to “identify an object of interest and the relationship between a user and the object.” The AR device captures a live view of an object, determines the location of the device, as well as the type of the object of interest. By using this system, workers will be able to view instant data about the components they are working on.
“(For example), the AR device identifies that the object of interest is a right-hand front shock tower of a vehicle. The AR device then overlays data corresponding to features of the object of interest, such as mechanical joints, interfaces with other parts, thickness of e-coating, etc. on top of the view of the object of interest. Examples of the joint features include spot welds, self-pierced rivets, laser welds, structural adhesive, and sealers, among others.
“As the user moves around the object, the view of the object from the perspective of the AR device and the overlaid data of the detected features adjust accordingly. The user can also interact with the AR device. For example, a user can display information on each of the identified features. In some embodiments, for example, the AR device displays the tolerances associated with each detected feature, such as the location of a spot weld or hole.”
Apart from allowing production to move faster, the AR-based system could also be used for quality inspections. Tesla even noted that such a system could be tapped to determine if panels in vehicles are within tolerances, and if holes in the electric cars’ frames are drilled or punched at the correct location.
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- An illustration of Tesla’s AR-augmented production system. [Credit: US Patent Office]
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- An illustration of Tesla’s AR-augmented production system. [Credit: US Patent Office]
An illustration of Tesla’s AR-augmented production system. [Credit: US Patent Office]
“There are many practical applications for the augmented reality (AR) manufacturing techniques discussed herein. In some embodiments, the AR device is used to program a robot to assemble one or more parts including identifying and marking the precise location and order of welds, self-pierced rivets, laser welds, adhesives, sealers, holes, fasteners, or other mechanical joints, etc. As another example, the AR device can be used to inspect the quality of the assembly for a vehicle such as whether the locations of welds are correct, whether the interfaces between parts such as body panels are within tolerances, whether holes are drilled or punched at the correct location, whether the fit and finish of assembly is correct, etc.
“In some embodiments, vision recognition is utilized. Individual sheet metal components and/or assemblies that are or will be part of the body-in-white (also known as the structural frame or body) are recognized. Once the component/system has been identified, computer-aided design (CAD) information (e.g., information and/or symbols associated with the mechanical joints) is aligned/scaled and rendered on corresponding identified physical model components. The application of the disclosed techniques applies to many different contexts of manufacturing.
“For example, the AR device can be used to map the quality of a coating on an automotive part such as determining the thickness of an e-coating on a vehicle body and identifying problem areas that are difficult to coat. In some embodiments, the AR device is used to map out a factory floor and to identify the precise location and orientation robots should be installed at to build out an assembly line. The robots are positioned based on the AR device such that the installed robots will not interfere with each other or other obstructions in the environment.”
An AR-based system that augments production fits very well with Tesla’s reputation as a car maker that never stays stagnant. During an interview at Gigafactory 1, Tesla President of Automotive Jerome Guillen mentioned that the company’s battery cells — while already industry-leading — are always evolving. Elon Musk echoed this idea as well, when he noted that improvements to Tesla’s electric cars are being rolled out as soon as they are ready. Optimizations such as the use of AR and computer vision in the production line is yet another example.
Investor's Corner
Tesla is ‘better-positioned’ as a company and as a stock as tariff situation escalates
Tesla is “better-positioned” as a company and as a stock as the tariff situation between the United States, Mexico, and Canada continues to escalate as President Donald Trump announced sanctions against those countries.
Analysts at Piper Sandler are unconcerned regarding Tesla’s position as a high-level stock holding as the tariff drama continues to unfold. This is mostly due to its reputation as a vehicle manufacturer in the domestic market, especially as it holds a distinct advantage of having some of the most American-made vehicles in the country.
Analysts at the firm, led by Alexander Potter, said Tesla is “one of the most defensive stocks” in the automotive sector as the tariff situation continues.
The defensive play comes from the nature of the stock, which should not be too impacted from a U.S. standpoint because of its focus on building vehicles and sourcing parts from manufacturers and companies based in the United States. Tesla has held the distinct title of having several of the most American-made cars, based on annual studies from Cars.com.
Its most recent study, released in June 2024, showed that the Model Y, Model S, and Model X are three of the top ten vehicles with the most U.S.-based manufacturing.
Tesla captures three spots in Cars.com’s American-Made Index, only U.S. manufacturer in list
The year prior, Tesla swept the top four spots of the study.
Piper Sandler analysts highlighted this point in a new note on Monday morning amidst increasing tension between the U.S. and Canada, as Mexico has already started to work with the Trump Administration on a solution:
“Tesla assembles five vehicles in the U.S., and all five rank among the most American-made cars.”
However, with that being said, there is certainly the potential for things to get tougher. The analysts believe that Tesla, while potentially impacted, will be in a better position than most companies because of their domestic position:
“If nothing changes in the next few days, tariffs will almost certainly deal a crippling blow to automotive supply chains in North America. [There is a possibility that] Trump capitulates in some way (perhaps he’ll delay implementation, in an effort to save face).”
There is no evidence that Tesla will be completely bulletproof when it comes to these potential impacts. However, it is definitely better insulated than other companies.
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Tesla (NASDAQ: TSLA) received a price target boost from analysts at Truist Securities, but it came with some criticisms based on a lack of information on several things that investors were excited to hear about regarding future vehicles and AI achievements.
Last night, Tesla reported its earnings from the fourth quarter of 2024, and while it had a very tempered financial showing, missing most of the Wall Street targets that were set for it, the stock was up after hours and on Thursday due to the details the company released regarding its plans for 2025.
CEO Elon Musk stunned listeners last night by revealing plans to launch unsupervised Full Self-Driving as a service in Austin in June 2025. It will be the first time Tesla will offer driverless FSD rides in public, something it has been working with the City of Austin on since December.
Tesla to launch unsupervised Full Self-Driving as a service in Austin in June
It also reiterated plans for affordable models to be launched this year, potentially catalyzing annual growth in deliveries, something it said it expects to resume in 2025.
Tesla was flat on deliveries in 2024 compared to 2023.
The positives during the call were enough for Truist Securities analyst William Stein to raise the company’s price target to $373 from $351. However, Stein’s note to investors showed there was something to be desired despite all the good that was revealed during the call:
Stein said there was “not enough ground-truth” during the call and too much of a focus on “cheerleading” the company’s potential releases this year:
“Too much cheerleading; not enough ground-truth. In Q4, TSLA’s ASP weakness drive revenue, GPM, OPM, & EPS below consensus.”
As previously mentioned, Tesla did report weak financials that missed consensus estimates. What saved the call and perhaps the stock from plummeting on these missed metrics was the other details that Musk revealed, especially the FSD launch in Austin in June.
There were also plenty of things related to the affordable models and other vehicles, like the fact that Tesla plans to include things like Steer by Wire, Adaptive Air Suspension, and Rear Wheel Steering, that helped offset negatives.
Stein saw this as a distraction from what should have been reported:
“While CEO Elon Musk played the role of cheerleader, calling for TSLA’s path to massive market cap by leading in autonomy, management was remarkably short on two critical details: (1) info about new vehicles in 2025 and (2) milestones for AI acheivements, especially FSD. We continue to ask ourselves ‘where’s the beef?’ CY26 EPS to $3.99 (from $4.87). DCF-derived PT to $373 (from $351).”
Tesla did detail some AI milestones, like its record-breaking miles per accident on Autopilot, which was a Q4-best of 5.94 million miles. The Shareholder Deck also outlined major upgrades to AI:
“In Q4, we completed the deployment of Cortex, a ~50k H100 training cluster at Gigafactory Texas. Cortex helped enable V13 of FSD (Supervised)1, which boasts major improvements in safety and comfort thanks to 4.2x increase in data, higher resolution video inputs, 2x reduction in photon-to-control latency and redesigned controller, among other enhancements.”
Tesla shares are up 2.11 percent on Thursday as of 12:05 p.m. on the East Coast.
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Tesla has released its Q4 2024 vehicle safety report. Similar to data from previous quarters, vehicles that were operating with Autopilot technology proved notably safer.
The Q4 2024 report:
- As per Tesla, it recorded one crash for every 5.94 million miles driven in which drivers were using Autopilot technology.
- The company also recorded one crash for every 1.08 million miles driven for drivers who were not using Autopilot technology.
- For comparison, the most recent data available from the NHTSA and FHWA (from 2023) showed that there was one automobile crash every 702,000 miles in the United States.
Previous safety reports:
- In Q3 2024, Tesla recorded one crash for every 7.08 million miles driven in which drivers were using Autopilot technology and one crash for every 1.29 million miles driven by drivers not using Autopilot technology.
- In Q2 2024, Tesla recorded one crash for every 6.88 million miles driven in which drivers were using Autopilot technology, and one crash for every 1.45 million miles driven for drivers not using Autopilot technology.
- In Q1 2024, Tesla recorded one crash for every 7.63 million miles driven in which drivers were using Autopilot technology, and one crash for every 955,000 million miles driven for drivers not using Autopilot technology.
Year-over-Year Comparison:
- In Q4 2023, Tesla recorded one crash for every 5.39 million miles driven in which drivers were using Autopilot technology and one crash for every 1.00 million miles driven for drivers not using Autopilot technology.
Key background:
- Tesla began voluntarily releasing quarterly safety reports in October 2018 to provide critical safety information about our vehicles to the public.
- On July 2019, Tesla started voluntarily releasing annual updated data about vehicle fires as well.
- It should be noted that accident rates among all vehicles on the road can vary from quarter to quarter and can be affected by seasonality, such as reduced daylight and inclement weather conditions.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
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