Edge AI in Automotive CX: Enhancing Touchless Experiences with UWB
Edge AI Customer Experience Drives Business Growth
In today’s fast-paced world, convenience drives loyalty. Customers expect seamless, intuitive experiences. Especially in automotive, these expectations continue to evolve.
Consequently, automakers must adapt quickly. Fortunately, technology enables smarter and safer experiences. Now, with Ultra-Wideband (UWB) and Edge AI, customer experience (CX) is entering a new era.
Embedding Intelligence at the Edge
embedUR systems, a leader in Edge AI, has developed a breakthrough solution. In collaboration with NXP Semiconductors, it launched a UWB-based sensing platform.
This platform runs on NXP’s Trimension™ NCJ29D6 chip. The chip combines secure ranging and radar features. Hence, it supports real-time gesture detection on power-efficient automotive hardware.
Most importantly, this enables hands-free and touchless interaction. Users can now open car trunks with a wave. They can also initiate parking with a simple gesture.
Bridging Expectations with Innovation
Modern customers value speed, ease, and control. Traditional interactions like button presses feel outdated. People prefer natural, fluid engagement.
Therefore, embedUR and NXP’s joint effort focuses on user-centric innovation. They’ve introduced motion-driven applications that align with user behavior. These include:
- Touch-Free Trunk Opening
No more fumbling for keys. A simple wave opens the trunk effortlessly. - Gesture-Based Parking Assistance
Easily start or stop automated parking using predefined hand gestures.
Both features reduce friction. They also add layers of safety and hygiene—essential in today’s context.
Enhancing CX Through Ultra-Wideband Precision
UWB technology enables centimeter-level accuracy. Thus, it ensures precise motion sensing. Unlike cameras, UWB works reliably in varied lighting and environmental conditions.
Additionally, the Trimension NCJ29D6 supports both digital key functionality and radar-based applications. It unlocks not just vehicles but new experiences.
Customers benefit from secure, intuitive, and hands-free access. Moreover, automakers can deliver differentiated experiences without complex hardware.
Model Optimization for Real-Time Performance
embedUR’s AI engineers optimized a gesture recognition model to run on the Trimension chip. The model uses just 215 KB of memory. Despite its compact size, it performs real-time inference.
This compact model ensures low latency and minimal power consumption. Because it runs on the Edge, it eliminates reliance on cloud or internet connectivity.
In short, customers receive consistent and fast responses—regardless of network strength. That’s crucial for on-the-go experiences like driving.
Expanding Beyond the Dashboard
While the primary use case is automotive, the possibilities go much further. UWB Edge AI can serve:
- Smart Homes: Imagine waving to control lights or appliances.
- Consumer Electronics: Touchless music systems or screen controls.
- Industrial Automation: Gesture-based machine control for safety-critical environments.
Each of these sectors faces CX demands. By adopting UWB-enabled Edge AI, they can meet expectations while reducing cost and latency.
Real-World Impact and Business Value
Michael Leitner, GM of Secure Car Access at NXP, highlights the commercial potential. He stated:
“embedUR’s efficiency in wireless sensing and Edge AI unlocks the full capabilities of our UWB devices.”
This collaboration reduces hardware complexity. It also accelerates time-to-market for next-gen products.
As a result, brands can quickly launch features customers love. They can also use CX as a key differentiator—something increasingly vital in crowded markets.
A Foundation for Future Innovations
embedUR has more than 20 years of experience. Its team has delivered several successful Edge AI applications. For example:
- A facial recognition pipeline under 1MB memory footprint.
- An image segmentation model under 300 KB on a Cortex-M7.
- AI solutions compressed to fit within 200–500 KB ranges.
These compact yet powerful models help reduce product size and energy needs. Simultaneously, they support real-time user interaction.
This technical excellence allows embedUR to support automakers, IoT firms, and industrial companies alike. Whether the goal is cost-saving, speed, or functionality—embedUR delivers.
Why This Matters for CX Leaders
CX professionals must understand what drives modern satisfaction. Physical buttons and static interfaces no longer suffice. Customers want fluidity, minimal effort, and maximum personalization.
UWB-powered AI delivers just that. It reacts instantly. It feels natural. And it respects user time and attention.
More importantly, these systems work across demographics. Older users, busy parents, and tech-savvy youth—all benefit from intuitive design.
Hence, embracing this solution boosts customer satisfaction across segments. That in turn improves brand trust, retention, and advocacy.
The Role of Developers and Designers
embedUR’s ModelNova platform empowers developers to integrate Edge AI swiftly. Through model templates and optimization tools, teams can reduce development cycles.
This support means businesses can test, iterate, and deploy with ease. Faster releases mean faster feedback. That feedback loop is essential for meaningful CX improvement.
Ultimately, customer-centric innovation becomes not just feasible—but sustainable.
Conclusion: Driving Loyalty with Smart Simplicity
In conclusion, Ultra-Wideband and Edge AI together revolutionize how people interact with machines. Through NXP’s Trimension chip and embedUR’s optimized models, gesture-based control is no longer futuristic—it’s now.
Touchless trunk opening and gesture parking are only the beginning. As these technologies scale, they will redefine CX across industries.
For CX leaders, now is the time to explore UWB-powered Edge AI. It enhances every touchpoint—without adding complexity.
Indeed, smart simplicity is the ultimate form of customer experience. And with innovations like these, it’s finally within reach.
To explore Edge AI integration, visit www.embedur.ai
