Passive Non-Invasive Ambient Gas Sensor Chip for In-Cabin Alcohol and Cannabis Detection with Adaptive Ignition Interlock Intercept
This disclosure introduces an ambient multi-analyte cabin-air impairment interception system designed to prevent drunk or impaired driving. THE PROBLEM: Existing countermeasures rely heavily on active Ignition Interlock Devices (IID) which require direct, manual driver interface (e.g., blowing into a localized tube or mouthpiece). These systems are highly invasive, easily bypassed by a sober passenger blowing into the device, and completely fail to detect non-ethanol impairments such as vaporized tetrahydrocannabinol (THC/marijuana). Camera-based driver monitoring systems attempt to evaluate impairment via eye-tracking but are rendered ineffective by dark eyewear or low-light environments. There is a critical lack of an autonomous, zero-interface system capable of detecting multiple types of molecular impairments in the ambient air from the moment a door is opened.THE SOLUTION: To solve this problem, this disclosure introduces a specialized smart sensor chip (micro-electro-mechanical system or MEMS gas sensor) integrated seamlessly into the vehicle’s cabin interior (preferentially inside the steering column housing, headliner console, or climate control intake duct to maximize exposure to the driver's natural exhalation plume). The system operates continuously without requiring any active driver participation or physical interface, utilizing a multi-spectral gas sensor array calibrated to detect parts-per-million concentrations of vaporized ethanol molecules and volatile organic compounds unique to metabolized or combusted/vaporized cannabis (such as specific cannabinoids or terpenes like THC vapor or beta-caryophyllene). If the sensor chip detects airborne biological traces exceeding a safety threshold, a microcontroller instantly locks out the engine management system, preventing the vehicle from starting.
Authors
- Lode Loyens
Publication Details
- Journal
- Figshare
- Published
- 2026-11-09
- DOI
- https://doi.org/10.6084/m9.figshare.34962157
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- preprint