Kneron provides full-stack edge AI solutions that combine proprietary AI System-on-Chips and Neural Processing Units with lightweight software models and a developer platform. The company's patented reconfigurable NPU technology adapts in real time to audio, 2D, and 3D image recognition tasks, supporting mainstream AI frameworks and CNN models while maintaining low latency and cost efficiency for device makers.

Kneron's SoC products deliver a best-in-class balance of performance and power efficiency. The NPU architecture enables on-device AI inferencing without reliance on cloud infrastructure, keeping user data private and eliminating bandwidth requirements. Solutions are engineered to minimize time to market for hardware and AIoT partners operating across vehicle, security, and smart home markets.

Dedicated application solutions address smart vehicles, smart security, smart homes, and edge server deployments. Vehicle solutions cover blind spot detection, collision warning, and driving behavior detection. Security solutions enable real-time face detection, identity verification, dangerous object recognition, and license plate detection directly on IP cameras and access control devices without cloud dependency.

Kneron also offers the KNEO platform and the KNEO Stem USB AI module, which allow developers to build, test, and deploy AI applications on any PC or sensor-connected device. Lightweight image recognition algorithms recognize human faces, bodies, gestures, objects, and scenes on-device, supporting secure payments, door security, retail management, facilities management, and traffic management use cases.