With the software update 2025.32.3, Tesla relies on forward-looking camera functions for the airbag triggering. But the departure of conventional sensors ensures concerns for drivers. Critics warn of possible mistakes.

• Tesla relies on camera-based airbag trigger for the first time
• Drivers fear unexpected misalignments
• Experts discuss opportunities and risks of the innovation

New era or risk?

Tesla starts with the update 2025.32.3 A “frontal Airbag system enhancement”, in which front cameras are to anticipate collisions using Teslas Vision AI and trigger the airbags before actual impact, instead of acting reactively as previously using an acceleration and pressure sensors, the company explains in the vision instructions. Tesla describes this as a previously uniquely integrated system that should make vehicles more secure over time.

Compatibility and market launch

According to Tesla Oracle, only vehicles with the new HW4/AI4 autopilot computer receive the feature. All vehicles from January 2023 are affected. HW3 models have so far been excluded and only receive small improvements. According to the notebookcheck, the market launch started for Model Y and Model 3 from the year of construction 2022.

Drivers express fears

The reactions in online forums are mixed. On Reddit, for example, there are comments such as “I can hardly wait for the airbag to trigger when I brake at 25 MPH safely at a red traffic light” or “Seriously, this update gives me great fear of it when I was bare”.

The concern: false alarms due to image processing errors could lead to unwanted airbag dissolutions. Tesla Vision has previously been criticized for the current weather conditions for phantom brake processes or the inadequate adaptation of the windshield wipers, as the online magazine Futurism reports.

Balance between security and technology

Tesla defends the update because it is a step towards a more proactive and thus potentially better occupant protection. Millisecond response time could be decisive in the event of an accident. Critics, on the other hand, argue that the sole support on camera data without the intervention of radar or lidar carries new risks.

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