company blog about Supply Rockchip AI Solution:Edge Computing,AI Neural Compute Card,Facial Recognition Gatekeeper

Supply Rockchip AI Solution:Edge Computing,AI Neural Compute Card,Facial Recognition Gatekeeper

Shenzhen Mingjiada Electronics Co., Ltd. is a globally renowned distributor of electronic components. With years of industry experience and a stable supply chain network, we provide customers with genuine products, competitive pricing, and fast delivery services.

The company boasts the following core advantages:

Extensive inventory: With over 2 million product models in stock, we can meet the diverse needs of all customers.

Professional team: Our experienced sales and management team offers one-stop services from product selection to after-sales support.

The company adheres to the principle of ‘credibility first, quality first, timely delivery, reasonable profit, fast turnover, and service first’ to provide customers with comprehensive high-quality services.

【Rockchip Edge Computing AI Processor】

In the field of edge computing, the Rockchip RK1806 high-performance AI processor chip is a neural network inference processor specifically designed for edge computing, artificial intelligence, and IoT devices. Developed by Rockchip, this chip features an independent NPU (Neural Network Processing Unit) and delivers robust computing power of 3.0 TOPS (INT8), making it ideal for AI applications such as image recognition, voice interaction, smart security, and industrial automation.

The core technical features of the RK1806 include:

High-performance AI computing power: The independent NPU supports 3.0 TOPS computing power at INT8, enabling efficient operation of MobileNet V1 (completion time of just 6.5ms, frame rate of 153.8 FPS). It is compatible with mainstream AI frameworks such as Paddle Lite, TensorFlow, and Caffe, facilitating rapid deployment of AI models.

Low-power design: Utilises 22nm FD-SOI process technology, reducing power consumption by 30% compared to traditional 28nm processes, making it suitable for battery-powered edge devices.

Dual-core ARM Cortex-A35 CPU: Operates at a clock speed of 1.2GHz, supporting ARM NEON SIMD acceleration for media processing, ideal for real-time computing tasks. Equipped with 128KB L2 cache + 32KB L1 instruction/data cache to optimise data processing efficiency.

Rich peripheral interfaces: Supports MIPI CSI, 16-bit DPI video input interface; MIPI DSI (1080p@60fps), RGB parallel output (1280×800@60fps) display interface; supports LPDDR3/DDR3/DDR4 memory expansion.

Industrial-grade reliability: Operating temperature range of -40°C to 85°C, suitable for harsh environments such as industrial control, automotive electronics, and smart security.

【Rockchip AI Neural Computing Card Solution】

In addition to single-chip solutions, Rockchip processors offer a complete AI neural computing card solution to meet high-performance AI computing needs across various scenarios. These computing cards integrate Rockchip processors, memory, storage, and a rich set of peripheral interfaces, providing customers with a ready-to-use AI acceleration platform.

Key features of AI neural computing cards:

Diverse computing power options: From 3TOPS (RK1806) for edge computing to higher-performance 15TOPS solutions, meeting the computing power requirements of different application scenarios.

Multi-framework support: Compatible with mainstream deep learning frameworks such as Baidu Paddle Lite, TensorFlow, Caffe, and PyTorch, reducing model migration costs.

Flexible deployment capabilities: Supports cloud-edge collaboration architecture, enabling hybrid computing modes such as remote model updates and local data processing.

Industrial-grade design: Wide temperature operating range (-40°C to 85°C), vibration-resistant and shock-resistant design, suitable for industrial field deployment.

Rockchip Face Recognition Access Control System Solution

In the field of biometric identification, Rockchip processors have developed a high-performance face recognition access control system solution. Compared to traditional fingerprint recognition or IC card access control systems, face recognition has advantages such as non-contact, ease of use, and difficulty of forgery, and is becoming the mainstream technology in the field of intelligent security.

Core technical features:

High-performance facial recognition algorithm: Based on deep neural network facial feature extraction and matching algorithms, it achieves high recognition accuracy and low false acceptance rates.

Mask-wearing recognition capability: Specially optimised algorithms enable accurate recognition even when users are wearing masks, meeting the needs of the post-pandemic era.

Liveness detection technology: Effectively prevents forgery attacks using photos or videos, enhancing system security.

Fast recognition response: Based on high-performance processors such as Rockchip RK3399, recognition speed is less than 1 second, meeting the needs of high-traffic scenarios.