Published
8 May 2025
Written by Emily Curryer
What do you get when you mix a toy door lock, a camera, and a tiny but mighty MPU?
Answer: An AI-powered access control demo that’s light on size but heavy on capability—brought to life by CEVA and their latest embedded processor, NeuPro-Nano.
At Embedded World 2025, we caught up with Ellia from CEVA, who gave us a quick tour of this clever demo—and showed how NeuPro-Nano delivers embedded AI on a single core.
Meet NeuPro-Nano: Small but Seriously Smart
NeuPro-Nano might be the most compact MPU in CEVA’s lineup, but don’t let its size fool you. It’s fully equipped with control code support, DSP capabilities, and enough muscle to run end-to-end AI applications—all on a single core, with no external acceleration required.
Already on the market and available for licensing, NeuPro-Nano is gaining traction in sectors where low-power, high-performance processing is essential.
AI Access Control—Powered by a Toy
So what was the demo all about? Imagine a smart door lock that uses a camera to detect a person and unlocks automatically—except in this case, the lock is a toy. It’s a playful setup, but the technology behind it is anything but.
Every step—from capturing the image, to processing it, running AI inference, and triggering the “unlock”—was handled entirely by NeuPro-Nano’s single-core architecture. No cloud. No external processors. Just pure edge intelligence.
Why It Matters: Real-Time AI at the Edge
This isn’t your average demo. It’s a complete AI pipeline, running locally and in real time. That’s a game-changer for applications like access control, where latency, privacy, and power consumption are all critical.
NeuPro-Nano enables advanced functionality in cost-sensitive, space- and power-constrained designs—ideal for security systems, consumer electronics, and IoT devices.
Get Started with NeuPro-Nano
If this pint-sized powerhouse has sparked your curiosity, you’ll be glad to know NeuPro-Nano is available now for licensing, with development tools ready to go.
Visit https://www.ceva-ip.com to learn more and start building smarter, faster, and more efficient edge AI systems—without blowing your power budget.
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