Aptiv has launched the Advanced Occupancy Classification (AOC) system, an occupant detection solution powered entirely by an in-cabin camera that simplifies vehicle architecture by eliminating traditional in-seat hardware while enabling next-generation cabin intelligence.
Drawing on more than two decades of Aptiv experience in occupant detection, AOC is an advanced software solution that leverages artificial intelligence 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 auto makers, the technology company said.
“Aptiv’s AOC represents a strategic leap forward in cabin innovation,” said Matthew Cole, senior vice president and president of sensors and compute at 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 auto makers 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.
The AOC achieved 100% accuracy across federal regulatory tests, including those evaluating how vehicles must protect occupants in frontal crashes under regulation FMVSS 208, supporting global safety compliance and requirements.
Smart‑cabin intelligence
By removing airbag in‑seat hardware, AOC 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.
The simplified architecture also gives auto makers greater flexibility, enabling thinner seat profiles and easier integration of comfort features such as heating, cooling and massage, without compromising safety performance.
OEMs can also leverage the same interior camera to deliver more than 15 additional safety and comfort functions, including seatbelt-status monitoring, driver-attention tracking, gesture recognition, body‑pose analysis and hands-on-wheel detection, among others.
Aptiv’s machine learning and logic fusion technology combines data from multiple sensors, AI models and vehicle systems to deliver robust occupant classification. The over-the-air upgradable system also enables OEMs to adapt to evolving safety regulations, extend hardware life and introduce new features without adding sensors or increasing integration complexity.
Recent news, rFpro launches AV Elevate In Cabin driver and occupant monitoring simulation tool
