System Costs Down 40%? Aptiv Launches Pure-Vision Advanced Occupant Classification System

Edited by Betty From Gasgoo

Gasgoo Munich- On June 9, Aptiv (NYSE: APTV) officially unveiled its Advanced Occupant Classification System (AOC). The company claims it is the industry's first occupant detection solution powered entirely by in-cabin cameras.

全新的座舱感知技术仅凭单个摄像头即可实现15项以上安全与舒适附加功能.jpg

Image Source: Aptiv

As an advanced AI and computer vision software solution, AOC precisely classifies occupants based on height, weight, and posture. It optimizes airbag deployment decisions while helping automakers significantly reduce system complexity and costs.

Unlike traditional pressure-based detection, AOC repurposes existing in-cabin cameras to distinguish between adults, children, infants in carriers, and inanimate objects. It also identifies posture, body size, seat position, and orientation. This capability allows the airbag system to suppress deployment or precisely adjust inflation force and timing, minimizing injury risk—particularly for children, smaller occupants, and passengers in out-of-position postures.

In terms of safety validation, AOC achieved 100% accuracy in U.S. federal regulation tests, including FMVSS 208 standards for frontal crash occupant protection. It meets global vehicle safety compliance requirements.

Cost and integration are key highlights. By eliminating seat-embedded airbag hardware, AOC drastically streamlines vehicle architecture. A single in-cabin camera replaces multiple sensors and wiring harnesses, reducing bill of materials (BOM) costs by up to 40%. It also cuts assembly time and enhances adaptability across different vehicle platforms.

The simplified architecture also grants automakers greater design flexibility, enabling slimmer seat profiles without sacrificing safety. It also simplifies the integration of comfort features such as heating, ventilation, and massage.

Additionally, automakers can reuse this in-cabin camera to deploy more than 15 additional safety and comfort features, including seatbelt status monitoring, driver fatigue and attention tracking, gesture recognition, posture analysis, and hands-off steering wheel detection.

Aptiv's machine learning and logic fusion capabilities integrate inputs from multiple sensors, AI models, and core vehicle data to deliver highly stable and robust classification results. The system supports software-defined features and OTA upgrades, providing automakers with a future-proof solution that adapts to regulatory changes. This lowers redesign costs, extends hardware lifespan, and continuously unlocks new functions without increasing sensor count or system complexity.

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