HomeCybersecuritySmart Glasses Recording-Indicator Trust Model

Smart Glasses Recording-Indicator Trust Model (2D)

Interactive 2D circuit-schematic model of smart-glasses privacy indicators: watch current physically forced through a hardware-wired recording LED whenever the camera is powered, versus a software-driven LED a compromised firmware GPIO call can silently disable while the camera keeps recording.

Cybersecurity2DModerate60 FPS📱 Mobile-adapted⇄ 3D version
2d-exp-smartglasses-security ↗ Open standalone

Smart glasses put a camera and microphone on someone's face, so the only thing standing between a bystander and covert surveillance is the reliability of the device's privacy indicators. This schematic simulator draws the actual circuit topology behind that trust: a recording LED that can sit in series directly on the camera's power rail (unspoofable by software) or hang off a firmware-controlled GPIO pin (and therefore able to be silently suppressed as firmware compromise rises), plus a second, independent wireless beacon that announces recording state to nearby devices over BLE and is instead attacked by signal jamming and distance. Toggle between the two wiring diagrams to see current physically forced through the hardware-wired LED whenever the camera trace is live, drag the compromise and jamming sliders to watch each channel's reliability degrade on its own axis, move the bystander closer or farther to see inverse-square signal falloff in the detection-probability readout, and track the covert-recording-incident counter to see exactly how defense-in-depth — two independently-attacked channels — keeps a single compromised component from producing silent surveillance.

⚙ Under the hood

Interactive 3D model of smart-glasses privacy indicators: compare a hardware-wired recording LED against a software-controlled one under firmware compromise, and watch a second wireless bystander-notification beacon resist jamming and distance.

cybersecuritysmart glasseswearablesprivacyfirmware securityBLE

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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