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World of Software > Computing > the incredible flaw that traps Tesla’s Autopilot
Computing

the incredible flaw that traps Tesla’s Autopilot

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Last updated: 2026/06/15 at 10:00 PM
News Room Published 15 June 2026
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the incredible flaw that traps Tesla’s Autopilot
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A phenomenon that is surprising to say the least is gaining popularity among certain drivers, particularly in Chine. A rudimentary trick, involving simple doll heads or celebrity figurines, allows you to foil the attention monitoring system of the driver. This practice highlights an unexpected vulnerability in a technology that is nevertheless perceived as sophisticated.

How can a simple figurine fool cutting-edge technology?

The monitoring device Tesla uses a indoor cameralocated near the rearview mirror, to ensure that the driver keeps their eyes on the road when theAutopilot is engaged. If the system detects a prolonged lack of attentionit emits audible warnings before deactivating driving assistance.

The trick, as simple as it is effective, consists of placing a figurine, like that of actor Dwayne Johnson, in the camera’s field of vision to fool it. The system does not perform complex facial recognition but identifies a silhouette resembling an attentive human face, which allows the real driver to take your eyes off the road.

How big is this parallel market?

What started as a tip shared on social media in Chine quickly became a niche market. On e-commerce platforms like Taobao, these gadgets sell for a small sumgenerally between 10 and 40 dollars, and the phenomenon is starting to spread in the United States and Europe.

“Doll heads” are only one facet of the problem. Fromother solutions existsuch as simple printed photos, lenticular images that appear to blink, or even small screens displaying a looping video of a face. The goal is always the same: simulate attentive presence to circumvent the guardrails of technology.

Tesla Autopilot

What are the implications for safety and the future of assisted driving?

This situation raises serious concerns regarding road safety. She recalls that these systems remain driving aidsand not fully standalone solutions. A driver who blindly trusts the machine and diverts his attention drastically increases the accident risks.

The phenomenon also undermines the robustness of theartificial intelligence used for monitoring. If such a simple object can fool the algorithm, it calls into question the reliability of these systems. The manufacturer could be forced to deploy an update to detect these lures, thus continuing the game of cat and mouse with the less cautious users.

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