Traditional development boards can often fall short—limited by computing power, high energy consumption, and closed ecosystems—making them inadequate for real-time AI inference or industrial-grade deployment.

However, Kneo Pi—Kneron is introducing a new high-performance development platform, designed to transform what is possible at the edge. Built with a dedicated NPU, open software ecosystem, and industrial-grade reliability, Kneo Pi claims to be redefining what intelligent hardware can do.

Kneo Pi is built to empower makers looking to test their next AI ideas and for enterprise developers needing scalable, deployable solutions.

Three core innovations

Native AI power: Unleashing the “brain” of edge devices Kneo Pi is powered by Kneron’s proprietary KDP-series Neural Processing Unit (NPU), offering up to 4 Etops of INT8 performance. Compared to CPU/GPU-based boards like Raspberry Pi, Kneron’s NPU presents:

• 10x power efficiency: Processes camera data and runs YOLOv5 for object detection with just 2W of power at over 30 FPS (Raspberry Pi CPU mode achieves only 2–3 FPS).
• Parallel multitasking: Supports simultaneous processing of up to four camera streams (e.g., facial recognition, vehicle detection, behaviour analysis).
• Zero-latency inference: Processes locally without needing cloud connectivity—ideal for real-time decision-making in security, healthcare, and more.

Plug-and-play developer experience: Kneo Pi eliminates the headaches of hardware and software compatibility with:

• Onboard storage with SD card support
• 40-pin GPIO fully compatible with Raspberry Pi sensors and displays
• Pre-installed KNEO Pi OS based on optimised Archlinux ARM, including NPU drivers, media codec libraries, and AI model libraries—ready for deployment in minutes

Industrial-Grade Reliability: Seamless scaling from prototype to production with:

• Wide temperature support (-20°C to 70°C): Withstands outdoor heat monitoring, cold-chain logistics, and extreme environments
• EMC protection: Certified electromagnetic shielding minimizes signal interference in automated industrial settings

Typical applications
According to the company the potential of Kneo Pi is limitless, in applications such as:

Smart securities & cities:  Develop AI-powered access systems with localised facial recognition and liveness detection. Direct camera connection ensures sub-0.3 second verification even without internet, with NPU-powered multi-model processing and enhanced low-light imaging—all while safeguarding user data.

Industrial inspection & predictive maintenance manufacturers can deploy vision-based inspection stations using Kneo Pi to analyse production line defects in real time with 99.2% accuracy. Features include rugged industrial protection and one-click model migration for fast rollout.

Education & maker projects: Compatible with Python/C++ and supported by open-source project templates and Kneron’s official AI tools, Kneo Pi is perfect for student developers. Run real-time semantic segmentation and bring AI education to life in high schools and universities.

Kneo Pi also offers various advantages for developers such as an open ecosystem presenting the freedom to modify and commercialise; enterprise-grade support with 48-hour tech response, SDK customisation, and bulk purchasing available;  the technology also offers an economic cost advantage enabling faster deployment cycles.

Kneron has long been committed to pioneering edge AI. With Kneo Pi, they aim to bring intelligence to every device—to help build the foundational infrastructure needed for a smarter world.