Tesla's Sentry Mode captures videos from up to four cameras at once
Not a Tesla App
Tesla Sentry Mode is an intelligent vehicle security system designed to monitor and record potential threats around your parked Tesla. This feature utilizes the vehicle's cameras and sensors to detect suspicious activity, notify the owner through the Tesla mobile app, and save footage to a USB drive.
What is Sentry Mode
When enabled, Tesla Sentry Mode keeps the vehicle's cameras and computer powered on and ready to record potential threats while the car is locked and in Park. If a threat is detected, the system pulses the headlights, displays a message on the touchscreen, and may sound the alarm, depending on the situation. In addition, footage of the event is saved to a USB drive, and the owner will be notified via the app if the alarm goes off. Sentry Mode offers an extra layer of security for Tesla owners, helping to deter would-be thieves or vandals.
Cameras and Sound
While Sentry Mode is enabled, it will record from four of the vehicle's nine available cameras. The video recorded comes from one of the front-facing cameras, the fender camera on either side of the vehicle, and the rear camera. The other remaining front-facing cameras, B-pillar cameras, and the cabin camera do not record at this time.
Teslas do not contain any external microphones, so all Sentry Mode videos are silent. Although Teslas do contain internal microphones, Tesla does not capture audio from these microphones. In fact, even if you're viewing the interior camera in the Tesla app, you can not hear any audio from inside of the vehicle.
How to Turn On Sentry Mode
You can enable Sentry Mode by tapping Controls then tapping 'Sentry.' The Sentry Mode icon will turn red when Sentry Mode is enabled. You can also choose to turn on Sentry Mode automatically when the vehicle is parked or activate it using the Tesla mobile app. Voice commands like "Keep Tesla safe," "Keep my car safe," "Sentry on," or "Enable Sentry" can also be used to enable the feature.
Enable Sentry Mode from the Controls menu
Not a Tesla App
How Long Does Sentry Mode Stay On
Once Sentry Mode is enabled, it will remain on until you turn it off, or when your battery reaches 20%. If the battery falls below this level, Sentry Mode will turn off, and you will receive a notification via the Tesla app. Since Sentry Mode increases power consumption, Tesla turns it off automatically to leave you with enough energy to reach your destination.
Sentry Mode Battery Drain
Since your vehicle's computer needs to remain on to process video from its various cameras, there is additional power usage while Sentry Mode is enabled.
The actual amount of power consumed varies based on your vehicle's specific hardware, but tests have shown that the vehicle will consume about 250 to 300 watts while Sentry Mode is on. This is equivalent to losing about 1 mile of range for every hour Sentry Mode is enabled.
In a day, Sentry Mode may consume as much as 7.2 kWh, about 24 miles of range, or roughly equivalent to 7% to 14% of your battery, depending on your model and battery size.
Since Sentry Mode consumes so much energy, it's best to use it only when needed. Sentry Mode is not meant for when your vehicle will be parked long term, as it'll quickly drain your battery. Luckily, Tesla offers options to automatically enable Sentry Mode at specific locations and Sentry Mode is automatically disabled when the vehicle's battery falls to 20%.
Sentry Mode Options
You can customize Sentry Mode settings to fit your preferences and requirements. Some options available include:
Disabling sounds: If you want to silence the security alarm and audio system when the alarm is triggered, navigate to Controls > Safety > Disable Sentry Sounds. Sentry Mode will still send a notification through the mobile app and save the last 10 minutes of footage of any events that occurred.
Excluding specific locations: In Controls > Safety > Sentry Mode, you can choose not to enable Sentry Mode in particular areas, such as your home, work, or favorite destinations. This can be helpful if you want to conserve battery power or avoid unnecessary recordings in familiar areas.
Choosing the clip length: In some markets (Not available in the U.S. and Canada), you can select the length of Sentry Mode video clips, allowing you to customize how much footage is saved during an event.
Disabling camera detection: If you prefer, you can disable camera detection so that Sentry Mode only activates when the car senses a physical intrusion. This can be helpful in situations where you want to minimize the number of false alarms or unnecessary recordings.
How to Set Up Sentry Mode
First, insert a compatible USB drive into the glove box USB port. If your car doesn't have a USB port in the glove box, you can use one in the center console. Note that not all Teslas have data-capable USB ports in the center console, so the glove box should be your first choice. Chances are that Tesla already included a compatible USB drive in the car for you. Tesla defines a compatible USB drive as one that is USB 2.0 compatible and holds at least 64 GB. This Samsung USB drive is a good choice for Sentry Mode because of its durability and size. It offers fast write speeds and 256GB of storage, 4x Tesla's recommendation.
Next, you can format the USB drive by going to Controls > Safety and tap on "Format USB Drive." Tesla recommends using a high-quality USB drive to ensure smooth recording and playback of Sentry Mode videos. You can also enable Dashcam recording. Navigate to Controls > Safety > Dashcam in your vehicle's menu and set it to Auto. This will allow your vehicle to automatically record footage while driving. Footage will automatically be recorded when an event is detected or when you tap the Dashcam icon under Controls > Dashcam.
How to View Sentry Mode Recordings
You can review your Sentry Mode video with the Dashcam Viewer app in the car
Not a Tesla App
To view Sentry Mode or Dashcam videos, use the Dashcam app in your vehicle. The Tesla system tags events with a red dot, making locating and reviewing footage easier. This feature allows you to quickly identify any incidents around your vehicle and gather evidence if necessary. Remember to regularly check your USB drive's storage capacity, as new recordings will overwrite the oldest ones when the drive is full. It's a good idea to back up important footage to a separate storage device for safekeeping.
Sentry Mode Live Access
You can view live footage from your vehicle in the Tesla app
Not a Tesla App
Sentry Mode Live Access lets you view your vehicle's cameras in real-time using the Tesla mobile app. This feature requires Tesla's Premium Connectivity. When using View Live Camera, your vehicle will periodically flash its exterior lights and displays a message on the touchscreen, notifying others that the area surrounding the vehicle is being viewed through the cameras.
To enable the View Live Camera feature, touch Controls > Safety > Sentry Mode > View Live Camera via Mobile App on the car's touchscreen. First, ensure no occupants are in the vehicle, and all doors are locked. Then, navigate to Safety > Sentry Mode > View Live Camera in the Tesla app. The live camera feed is fully encrypted and cannot be accessed by Tesla, ensuring your privacy. View Live Camera is limited to approximately one hour (or 15 minutes for some regions) of cumulative usage per day. Although Sentry Mode Live Access is widely available, it is not currently available in all markets.
If your vehicle is equipped with a pedestrian warning speaker you can press and hold the microphone button in the app to transmit your voice through the speaker, potentially deterring would-be intruders or vandals.
When Dog Mode or Sentry Mode are enabled, you can also switch the live camera view to see through the vehicle's interior camera. This can be useful if you want to check on your pet while away from the vehicle. Note that this feature is not supported in vehicles with Autopilot computer 2.0 or 2.5.
Tesla Sentry Mode is a valuable security feature that can help protect your vehicle from potential threats. By following the steps provided, you can set up, enable, and customize this feature to fit your needs. As a Tesla owner, using Sentry Mode can give you peace of mind, knowing that your car is actively monitoring its surroundings for potential threats. While no security system can prevent all attacks, Sentry Mode offers an added layer of protection that can help deter criminals and keep your vehicle safe.
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As December approaches, Tesla’s highly anticipated Holiday update draws closer. Each year, this eagerly awaited software release transforms Tesla vehicles with new features and festive flair. If you’re not familiar with Tesla’s holiday updates, take a look at what Tesla has launched in the Holiday update the past few years.
For this chapter in our series, we’re dreaming up ways Tesla could improve the charging experience and even add some additional safety features. So let’s take a look.
Destination State of Charge
Today, navigating to a destination is pretty straightforward on your Tesla. Your vehicle will automatically let you know when and where to charge, as well as for how long. However, you’ll likely arrive at your destination at a low state of charge.
Being able to set your destination state of charge would be an absolute game-changer for ease of road-tripping. After all, the best EV to road trip in is a Tesla due to the Supercharger network. It looks like Tesla may be listening. Last week, Tesla updated their app and hinted at such a feature coming to the Tesla app. A Christmas present, maybe?
Battery Precondition Options
While Tesla automatically preconditions your battery when needed for fast charging, there are various situations where manually preconditioning the battery would be beneficial.
Currently, there is no way to precondition for third-party chargers unless you “navigate” to a nearby Supercharger. If you need to navigate to a Supercharger that’s close by, the short distance between your location and the Supercharger will also not allow enough time to warm up the battery, causing slower charging times.
While we already mentioned Live Activities in the Tesla app wishlist, they’d be especially useful while Supercharging. Live Activities are useful for short-term information you want to monitor, especially if it changes often — which makes them perfect for Supercharging, especially if you want to avoid idle fees.
Vehicle-to-Load / Vehicle-to-Home Functionality
The Cybertruck introduced Tesla Power Share, Tesla’s name for Vehicle-to-Home functionality (V2H). V2H allows an EV to supply power directly to a home. By leveraging the vehicle’s battery, V2H can provide backup power during outages and reduce energy costs by using stored energy during peak rates.
Tesla Power Share integrates seamlessly with Tesla Energy products and the Tesla app. We’d love to see this functionality across the entire Tesla lineup. Recently a third party demonstrated that bidirectional charging does work on current Tesla vehicles – namely on a 2022 Model Y.
Adaptive Headlights for North America
While Europe and China have had access to the Adaptive Headlights since earlier this year, North America is still waiting. The good news is that Lars Moravy, VP of Vehicle Engineering, said that these are on their way soon.
Blind Spot Indication with Ambient Lighting
Both the 2024 Highland Model 3 Refresh and the Cybertruck already have ambient lighting features, but they don’t currently offer a practical purpose besides some eye candy. So why not integrate that ambient lighting into the Blindspot Warning system so that the left or right side of the vehicle lights up when there’s a vehicle in your blind spot? Currently, only a simple red dot lights up in the front speaker grill, and the on-screen camera will also appear with a red border when signaling.
Having the ambient lighting change colors when a vehicle is in your blind spot would be a cool use of the technology, especially since the Model Y Juniper Refresh and Models S and X are supposed to get ambient lighting as well.
Tesla’s Holiday update is expected to arrive with update 2024.44.25 in just a few short weeks. We’ll have extensive coverage of its features when it finally arrives, but in the meantime, be sure to check out our other wishlist articles:
It’s time for another dive into how Tesla intends to implement FSD. Once again, a shout out to SETI Park over on X for their excellent coverage of Tesla’s patents.
This time, it's about how Tesla is building a “universal translator” for AI, allowing its FSD or other neural networks to adapt seamlessly to different hardware platforms.
That translating layer can allow a complex neural net—like FSD—to run on pretty much any platform that meets its minimum requirements. This will drastically help reduce training time, adapt to platform-specific constraints, decide faster, and learn faster.
We’ll break down the key points of the patents and make them as understandable as possible. This new patent is likely how Tesla will implement FSD on non-Tesla vehicles, Optimus, and other devices.
Decision Making
Imagine a neural network as a decision-making machine. But building one also requires making a series of decisions about its structure and data processing methods. Think of it like choosing the right ingredients and cooking techniques for a complex recipe. These choices, called "decision points," play a crucial role in how well the neural network performs on a given hardware platform.
To make these decisions automatically, Tesla has developed a system that acts like a "run-while-training" neural net. This ingenious system analyzes the hardware's capabilities and adapts the neural network on the fly, ensuring optimal performance regardless of the platform.
Constraints
Every hardware platform has its limitations – processing power, memory capacity, supported instructions, and so on. These limitations act as "constraints" that dictate how the neural network can be configured. Think of it like trying to bake a cake in a kitchen with a small oven and limited counter space. You need to adjust your recipe and techniques to fit the constraints of your kitchen or tools.
Tesla's system automatically identifies these constraints, ensuring the neural network can operate within the boundaries of the hardware. This means FSD could potentially be transferred from one vehicle to another and adapt quickly to the new environment.
Let’s break down some of the key decision points and constraints involved:
Data Layout: Neural networks process vast amounts of data. How this data is organized in memory (the "data layout") significantly impacts performance. Different hardware platforms may favor different layouts. For example, some might be more efficient with data organized in the NCHW format (batch, channels, height, width), while others might prefer NHWC (batch, height, width, channels). Tesla's system automatically selects the optimal layout for the target hardware.
Algorithm Selection: Many algorithms can be used for operations within a neural network, such as convolution, which is essential for image processing. Some algorithms, like the Winograd convolution, are faster but may require specific hardware support. Others, like Fast Fourier Transform (FFT) convolution, are more versatile but might be slower. Tesla's system intelligently chooses the best algorithm based on the hardware's capabilities.
Hardware Acceleration: Modern hardware often includes specialized processors designed to accelerate neural network operations. These include Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs). Tesla's system identifies and utilizes these accelerators, maximizing performance on the given platform.
Satisfiability
To find the best configuration for a given platform, Tesla employs a "satisfiability solver." This powerful tool, specifically a Satisfiability Modulo Theories (SMT) solver, acts like a sophisticated puzzle-solving engine. It takes the neural network's requirements and the hardware's limitations, expressed as logical formulas, and searches for a solution that satisfies all constraints. Try thinking of it as putting the puzzle pieces together after the borders (constraints) have been established.
Here's how it works, step-by-step:
Define the Problem: The system translates the neural network's needs and the hardware's constraints into a set of logical statements. For example, "the data layout must be NHWC" or "the convolution algorithm must be supported by the GPU."
Search for Solutions: The SMT solver explores the vast space of possible configurations, using logical deduction to eliminate invalid options. It systematically tries different combinations of settings, like adjusting the data layout, selecting algorithms, and enabling hardware acceleration.
Find Valid Configurations: The solver identifies configurations that satisfy all the constraints. These are potential solutions to the "puzzle" of running the neural network efficiently on the given hardware.
Optimization
Finding a working configuration is one thing, but finding the best configuration is the real challenge. This involves optimizing for various performance metrics, such as:
Inference Speed: How quickly the network processes data and makes decisions. This is crucial for real-time applications like FSD.
Power Consumption: The amount of energy used by the network. Optimizing power consumption is essential for extending battery life in electric vehicles and robots.
Memory Usage: The amount of memory required to store the network and its data. Minimizing memory usage is especially important for resource-constrained devices.
Accuracy: Ensuring the network maintains or improves its accuracy on the new platform is paramount for safety and reliability.
Tesla's system evaluates candidate configurations based on these metrics, selecting the one that delivers the best overall performance.
Translation Layer vs Satisfiability Solver
It's important to distinguish between the "translation layer" and the satisfiability solver. The translation layer is the overarching system that manages the entire adaptation process. It includes components that analyze the hardware, define the constraints, and invoke the SMT solver. The solver is a specific tool used by the translation layer to find valid configurations. Think of the translation layer as the conductor of an orchestra and the SMT solver as one of the instruments playing a crucial role in the symphony of AI adaptation.
Simple Terms
Imagine you have a complex recipe (the neural network) and want to cook it in different kitchens (hardware platforms). Some kitchens have a gas stove, others electric; some have a large oven, others a small one. Tesla's system acts like a master chef, adjusting the recipe and techniques to work best in each kitchen, ensuring a delicious meal (efficient AI) no matter the cooking environment.
What Does This Mean?
Now, let’s wrap this all up and put it into context—what does it mean for Tesla? There’s quite a lot, in fact. It means that Tesla is building a translation layer that will be able to adapt FSD for any platform, as long as it meets the minimum constraints.
That means Tesla will be able to rapidly accelerate the deployment of FSD on new platforms while also finding the ideal configurations to maximize both decision-making speed and power efficiency across that range of platforms.
Putting it all together, Tesla is preparing to license FSD, Which is an exciting future. And not just on vehicles - remember that Tesla’s humanoid robot - Optimus - also runs on FSD. FSD itself may be an extremely adaptable vision-based AI.
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