News
Tesla’s camera-based driver monitoring system triggers legal complaint in Illinois
Tesla has implemented a number of safety improvements for its Autopilot and Full Self-Driving suites over the years, and this includes updates to its driver monitoring systems (DMS). Last year, Tesla activated its camera-based driver monitoring system in Model 3 and Model Y vehicles, allowing the company to provide an extra layer of checks to determine if drivers were paying attention to the road while using Autopilot and FSD features. The function was later rolled out to the refreshed Model S and Model X as well.
While a camera-based DMS has evident advantages, a class action complaint has been proposed against Tesla in Illinois, with the Plaintiff claiming that the company’s in-cabin driver monitoring system violates the state’s Biometric Information Privacy Act (BIPA). The complaint was filed in an Illinois Circuit Court on March 11, 2022.
In the complaint’s introduction, the Plaintiff described how Tesla benefits from the data it collects from its fleet of vehicles. Following is a relevant section from the document.
“In an effort to facilitate its Autopilot features and help market its self-driving capability to boost sales, Defendant collects individuals’ biometrics in the form of their facial geometry so that it can verify and make sure that individuals are paying attention to the road while using its Autopilot advanced driver assistance system (“Autopilot”) and its premium Full Self Driving system (“FSD”).
“This is achieved through Tesla’s in-cabin camera located by the rearview mirror which extracts drivers’ biometric facial geometry that Defendant’s Autopilot uses to track their head positions and eye gazes to detect a driver’s inattentiveness. If the driver is inattentive, then the Autopilot function is disengaged and the driver must take over the steering function.”
Inasmuch as data from the in-cabin camera is being used for driver monitoring, the Plaintiff alleged that Tesla’s practices violate Illinois citizens’ statutorily protected privacy rights. This was discussed in the following section of the complaint.
“Facial geometry is a unique and permanent biometric identifier associated with each individual. The unauthorized handling of such sensitive information exposes consumers to serious and irreversible privacy risks. If for example, a database containing scans of face geometry or other sensitive biometric data is hacked, breached, or otherwise exposed, consumers cannot simply change their biometric identifiers like they could reset a password or cancel a credit card.
“Notwithstanding the clear and unequivocal requirements of the law, Defendant disregards Illinois citizens’ statutorily protected privacy rights and unlawfully collects, stores, and uses individuals’ biometrics without first obtaining those individuals’ informed written consent and without having any publicly available data retention policy that could inform them about the whereabouts of the facial biometric data Defendant gatherer as required by BIPA.”
Interestingly enough, the Plaintiff included an anecdote of Tesla’s camera-based DMS in action. Based on the incident outlined in the complaint, it appears that the Plaintiff was warned by his vehicle to keep his hands on the wheel. This is a critical safety check, especially as Tesla rolls out more advanced features of its Autopilot and FSD suite.
“In or about December 2021, Plaintiff was driving one of Defendant’s Model 3 cars in Illinois with Defendant’s Autopilot feature function engaged. Using its proprietary facial recognition technology, Defendant collected, stored, and analyzed Plaintiff’s facial geometry in order to be able to track his head and eye movements and make sure that he was attentive. Plaintiff experienced Defendant’s biometrically enabled technology first-hand as it continuously informed Plaintiff to put his hands back on the wheel whenever it detected him looking away from the road.”
The class action complaint seeks to collect statutory damages of $5,000 for every time Tesla willfully or recklessly violated Illinois’ Biometric Information Privacy Act. It also seeks to collect statutory damages of $1,000 for each negligent violation of the state’s BIPA. Tesla’s legal team, for its part, is yet to issue a response to the complaint.
Below is the class action complaint against Tesla’s camera-based driver monitoring system (as shared by Bloomberg Law).
Tesla Cabin Camera Lawsuit by Simon Alvarez on Scribd
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
