Aptiv Introduces Advanced Occupancy Classification, The Industry’s First Camera-Only Occupant Detection System
Aptiv PLC (NYSE: APTV), a global industrial technology company, today announced the launch of its Advanced Occupancy Classification (AOC) system, the industry’s first occupant detection solution powered entirely by an in-cabin camera. The system simplifies vehicle architecture by eliminating traditional in-seat hardware while enabling next-generation cabin intelligence.
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Aptiv’s Advanced Occupancy Classification (AOC) replaces traditional in-seat hardware with a vision-based software solution—reducing both system complexity and cost.
Built on more than two decades of Aptiv leadership in occupant detection, AOC is an advanced software solution that leverages artificial intelligence (AI) and computer vision to accurately classify occupants based on parameters such as height, weight, and body position. This enables optimized airbag deployment decisions while significantly reducing system complexity and cost for automakers.
“Aptiv’s Advanced Occupancy Classification represents a strategic leap forward in cabin innovation,” said Matthew Cole, Senior Vice President, Sensors and Compute, Aptiv. “By moving to a camera-only architecture, we are leading a new generation of intelligent, software-defined safety features enabled through a single sensor. AOC provides automakers with a smarter, more scalable foundation for the future of the in-cabin experience, delivering the proven performance, safety and reliability they expect from Aptiv.”
Unlike conventional pressure‑based occupant detection systems, AOC can work with most existing vehicle interior cameras to accurately distinguish adults, children, infants in carriers, and inanimate objects, while also recognizing posture, size, seating position, and orientation. This enables the airbag system to suppress deployment or tailor inflation force and timing to reduce injury risk — especially important for children, smaller occupants, or out-of-position passengers.
Advanced Occupancy Classification achieved 100% accuracy across federal regulatory tests, including those evaluating how vehicles must protect occupants in frontal crashes under FMVSS 208 regulation, supporting global safety compliance and requirements.
A Platform for Smart‑Cabin Intelligence at Lower Cost
By removing airbag in‑seat hardware, AOC significantly streamlines system architecture. A single interior camera replaces multiple sensors and wiring, lowering bill‑of‑materials cost by up to 40% while reducing assembly effort and improving scalability across vehicle platforms.

