AI Edge Computing
Module
TS-E126

Products Positioning

The AI edge computing module is equipped with a high-performance processor and a rich set of peripheral interfaces to meet the high computing power requirements of robots, supporting complex sensor fusion algorithms and high-definition video encoding and decoding. Advanced edge computing technology enables robots to process data locally, significantly reducing data latency, improving response speed, and providing users with a smoother, smarter, and more efficient robot service experience.

Core Features

Product core Advantages
Superior Algorithm:

Integrated NPU supports efficient visual algorithm processing, delivering exceptional performance in low-power devices. With 2-3TOPS computing power and a low-power design, it fully meets edge AI application requirements

Cost-Effective Solution:

With its combination of affordability and stable performance, the module is ideal for entry-level intelligent vision products. Its compact size, low power consumption, high performance, and ease of use help shorten product development cycles and reduce overall development costs.

Multimedia Processing Support

Its multimedia processing capabilities enable video encoding and transmission functions, such as H.264 encoding and RTP packaging via the RKmedia library.

Application Scenarios: Edge computing, private deployment of large models, artificial intelligence, computing power services, intelligent security/industry, etc.

Designed based on the Rockchip platform.

Local AI Functions

Private Model Deployment

Supports private deployment of large-scale Transformer-based models, including Gemma, Qwen, ChatGLM, Phi, and other major large language models (LLMs). Fully compatible with Docker container management for flexible and efficient model operation.

Application Scenarios

Intelligent Security

For devices such as smart cameras and access control systems, the module supports facial recognition and video analysis, leveraging NPU computing power for real-time processing.

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Industrial Vision

Used in industrial cameras and inspection equipment, supporting high-precision image recognition and defect detection.

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Smart Automotive and Home Devices

Integrated into dashcams and smart doorbells, supporting low-power edge computing.

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Smart City

Applied in scenarios like traffic monitoring and public safety, integrating multi-sensor data for enhanced situational awareness.

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