For years, pressure-mapping technology in automotive seating was confined to the R&D lab — bulky mats used briefly for ergonomic testing but far too fragile or expensive for mass production. As vehicles transition into "living spaces" on wheels, the industry requires a different approach: a durable, cost-effective sensor that doesn't compromise the comfort of the passengers.
**The Engineering Challenge:** Traditional pressure mats often rely on expensive printed electronics or flexible PCBs that can't withstand the rigors of a 10-year vehicle lifecycle. Furthermore, adding sensing layers often meant compromising on seat "breathability" or stack height, ultimately affecting passenger comfort.
**A Production-First Solution:** At TG0, we've developed a Pressure-Mapping Seat Insert specifically engineered for true in-vehicle deployment. This technology replaces traditional electronics with moulded conductive polymer sensing layers.
Why automotive brands are paying attention
- **Invisible Integration:** At just 1.75–2.25 mm thick, the insert fits seamlessly beneath foam or trim without impacting styling or ergonomics. - **Embedded AI Intelligence:** Onboard AI models don't just detect occupancy — they project 3D full-body movement, predict passenger behaviour, and estimate weight in real time. - **Automotive-Grade Durability:** Validated under extreme temperature cycling, humidity exposure, and mechanical fatigue testing. The system uses components certified to AEC-Q100 and AEC-Q200 standards. - **The Lowest Cost Architecture:** By eliminating flexible PCBs, TG0 delivers a high-resolution sensing solution at the lowest system cost in its class.
The future of the Software-Defined Vehicle lies in the passenger's seat — the most personal and intimate interaction we have with a vehicle. TG0's AI-infused sensing technology can elevate the driving experience by making it more comfortable, personalised, and adding a vital layer of safety, without the need for invasive or cumbersome equipment. The technology is sensitive enough to detect nuanced weight differences — distinguishing, for example, a heavy box from a child — and can monitor the driver for signs of agitation or fatigue.
We're moving beyond simple occupancy to a seat that understands, adapts, and protects.
