Using the NXP Trimension NCJ29D6 platform, embedUR systems has developed an Ultra-Wideband (UWB) Sensing Edge AI solution. This technology supports advanced sensing applications in the automotive industry and beyond, and it provides gesture-based control features like hands-free cars trunk opening.
The NXP Trimension NCJ29D6 from NXP is a low-energy, fully integrated UWB transceiver integrated circuit (IC) intended for radar and secure ranging applications in automotive settings.
In addition to providing radar-based applications like Child Presence Detection (CPD) and kick-sensing for simple trunk entry, it provides Digital Key functionality for smooth, hands-free car access. By combining radar and range capabilities into one chip, the Trimension NCJ29D6 lowers overall costs and maximizes system value.
For use with NXP Trimension NCJ29D6, embedUR systems optimized a lightweight and effective UWB Gesture and Motion Recognition Model, enabling real-time gesture recognition at a small model size of only 215 KB.
Enhancing Experiences with UWB AI
This UWB-powered AI model allows for intuitive, touch-free vehicle interactions, and enables new affordable opportunities all running on the Edge, such as:
- Touch-Free Trunk Opening – Open the trunk with a wave of a hand or foot.
- Parking Assistance – Start/stop automated parking maneuvers using gestures.
In addition to the automobile industry, this technology can be modified for use in consumer electronics, smart home applications, and industrial automation, allowing touchless user interactions in a variety of sectors.
Optimized AI for UWB Sensing Applications
Model optimization, embedded AI on the Edge, and real-time processing on low-memory, power-efficient edge devices are the areas of expertise for embedUR systems. The Trimension NCJ29D6’s secure range and radar support offer a special basis for cutting-edge AI-driven sensing applications. Through the usage of this platform, embedUR provides reliable and effective UWB gesture recognition for a variety of applications.
Leadership Comments
“With our expertise in embedded AI and UWB technology, we are delivering practical, hands-free interaction solutions that enhance safety and convenience,” said Eric Smiley, VP of Business Development at embedUR systems. “This project demonstrates how UWB, combined with optimized Edge AI models, can help create advanced sensing applications for automotive and beyond.”
Michael Leitner, General Manager, Secure Car Access at NXP Semiconductors, confirms: “The knowledge of embedUR in wireless sensing and efficient implementation of data processing on edge devices positions embedUR to fully leverage the capabilities of our Ultra-Wideband (UWB) devices. EmbedUR demonstrated very positive results in UWB-based gesture sensing and we are looking forward to further applications that embedUR is able to address based on our UWB IC.”
Further Info on How embedUR Can Help With Edge AI Acceleration, CLICK HERE
