The CEVA NeuPro-Nano is a compact embedded processor designed for real-time AI at the edge. First unveiled in an access control demo at Embedded World 2025, this processor proves that embedded intelligence doesn’t require large silicon or external accelerators. The demo—featuring a toy door lock—highlighted how the CEVA NeuPro-Nano can handle the entire AI pipeline locally, from image capture to inference to triggering the unlock.
Unlike cloud-based systems or multi-core architectures, the CEVA NeuPro-Nano operates fully on a single core. It combines control code support, DSP capabilities, and efficient AI execution without relying on off-chip compute. This approach reduces latency, conserves energy, and improves privacy—making it ideal for embedded security systems, wearables, and low-power IoT applications.
In the access control demonstration, a small camera captured visual input, which the processor analysed to identify a person and unlock the mechanism. This full on-device execution showed how the CEVA NeuPro-Nano supports high-speed inference in environments with strict power and space limitations. It’s a practical fit for battery-powered devices or systems requiring local decision-making without network dependence.
The processor is available for licensing and supported by standard AI development workflows. CEVA provides integration guides and hardware evaluation kits to help design engineers accelerate deployment. Developers targeting gesture recognition, voice control, or object detection will benefit from the processor’s low-power profile and strong signal processing capabilities.
Ultimately, this product allows developers to implement edge AI in form factors that were previously inaccessible. It brings powerful ML capabilities to small devices, supporting smarter, faster, and more secure products across consumer, industrial, and security markets.