AI SYSTEM ON CHIP (SoC)

AI SYSTEM ON CHIP (SoC)

Kneron produces AI SoC processors like the KL520 which is powered by Kneron’s proprietary NPU that accelerates neural network models making possible applications such as face detection and recognition, body and object detection, and gesture control in embedded devices.

The KL520 with its dual ARM Cortex M4 CPU can operate as a host or companion AI co-processor enabling edge AI on devices like smart locks, security cameras, drones, smart home appliances, and robotics. It is compatible with various 3D sensor technologies such as Structured Light, dual-cameras, ToF camera, and Kneron’s own exclusive 3D sensing technology.
VISUAL RECOGNITION SOLUTIONS

VISUAL RECOGNITION SOLUTIONS

Kneron's lightweight visual recognition algorithms can recognize human faces, bodies, gestures, objects, and scenes on-device, and power applications such as secure payments, door security, facilities management, retail management, and traffic management.

The key to effective edge AI computing is balancing size, performance, and power usage. That said, Kneron's facial recognition algorithm (Kneron-003) scored the best aggregate performance rating among all lightweight models under 100MB in the U.S. National Institute of Standards and Technology (NIST) 2019 Face Recognition Vendor Test (FRVT).
NEURAL PROCESSING UNIT (NPU)

NEURAL PROCESSING UNIT (NPU)

Kneron's NPU IP Series are neural network processors that have been designed for edge devices. These processors provide high computing performance with low power consumption and are small in size.

Kneron NPU IP Series can be applied to smart home, smart surveillance, mobile, and wearable devices that have a high requirement for low power and storage space. The entire product consumes under 0.5W and can even drop below 5mW for specific applications.