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Tesla Hardware 4 camera ports hint at 360-degree view with no blind spots
The recent leaks of Tesla’s Hardware 4 computer provided a pretty clear teaser of the upcoming changes coming to the electric vehicle maker’s Autopilot unit. While there is still much to be learned about HW4, the leaks suggest that the number of cameras in Tesla’s electric vehicles may be increased to 11.
Hardware 4, as its name suggests, is Tesla’s next-generation Autopilot computer. Elon Musk noted during the Q4 and FY 2022 earnings call that HW4 should be capable of operating 500% to 600% safer than a human driver. The existing Hardware 3 computer being rolled out to vehicles like the Model 3 and Model Y today are equipped with Hardware 3, which Musk noted should be capable of operating 200% to 300% safer than a human driver.
Hardware 4 and Tesla Vision
Considering the electric vehicle maker’s focus on Tesla Vision, it is pertinent for FSD and Autopilot to see and analyze road conditions very well in real-time. With this in mind, and as per the Hardware 4 leaks that were recently posted on Twitter by prolific Tesla hacker @greentheonly, it would appear that the electric vehicle maker is increasing the number of its cameras to 11.
A look at the Hardware 4 computer would show 12 fully-populated camera connectors, with one being marked as “Spare.” Of the remaining 11, one will still be used for the cabin camera while ten will be used for the vehicle’s exterior. This is not surprising at all as the company adopts a similar system with its existing eight-camera layout for its vehicles today.
Hardware 3 vs. Hardware 4 Cameras
For context, Tesla’s existing layout features an eight-camera setup: one above the rear license plate, one in each door pillar, three mounted on the windshield above the rearview mirror, and one mounted to each front fender. A radar unit and ultrasonic sensors were also used in the past, though Tesla phased these out as the company focused on its development of Tesla Vision.
The leaked Hardware 4 images list the cameras as the following: “F-SVC,” “L-SVC,” “R-SVC,” “L-FF-Rear,” “R-FF-Rear,” “L-FF-Side,” “R-FF-Side,” “Wide,” “Main,” “Backup,” and “Selfie.” As per the Tesla hacker, the names are a bit cryptic, but based on how they are listed, one could speculate where the cameras will be placed in a Tesla equipped with a Hardware 4 computer.
Potential Hardware 4 Camera Placements
Immediately noticeable in the leaked images are the three cameras marked “F-SVC,” “L-SVC,” and “R-SVC.” The Tesla Parts Catalog shows that “SVC” refers to vehicle bumpers, so with these in mind, it would appear that Hardware 4 would be using three bumper cameras. Considering the references to “F,” “L,” and “R” SVC placements, the Tesla hacker noted that one of the Hardware 4 cameras might be placed in the front bumper, while two may be placed on both sides of the rear bumpers for cross traffic.
Also notable are the Hardware 4 camera slots listed as “FF.” A total of four cameras are listed with these letters: “L-FF-Rear,” “R-FF-Rear,” “L-FF-Side,” and “R-FF-Side.” The Tesla hacker speculated that “FF” might refer to “Front Fender,” which would suggest that the cameras in the pillar may be moved to the front fender. Other Tesla watchers, however, have suggested that “FF” may also mean “Front Facing,” “Full-Frame” for higher resolution images, or “Far Field.”
No Blind Spots and 360-degree-view
If the Hardware 4 leaks are accurate, it would suggest that Tesla would be increasing the number of cameras by two as it rolls out vehicles that are equipped with its new Autopilot computer. Comparing the existing camera setup in Hardware 3 and the potential setup of Hardware 4, it would appear that the new cameras will be those placed in the rear bumper. This may also suggest that the ultrasonic sensors that were phased out in the rear bumpers might be replaced with cameras.
Considering the potential setup of the Hardware 4 cameras, it would appear that Tesla would finally be rolling out a 360-degree view of its vehicles, which is a highly-requested feature among owners. It would also mean that some blind spots in existing cars would be addressed. Overall, Hardware 4 might not just be a step up in performance; it might also be a notable step up in safety and vision.
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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
