Edge AI chip series

Overview

• Small, high-speed, and low power consumption, enabling fanless operation.
• A processor that can be used in embedded products requiring waterproof and dustproof capabilities.
• This heterogeneous architecture not only features our proprietary neural processing engine, but also includes hardware engines needed for image and audio processing.

Key Features

• In addition to deep learning inference, it also supports a variety of computer vision image processing and audio signal processing tasks.
• Its hardware engine group, driven by software-controlled parameters, ensures high efficiency and flexibility.
• With AI performance of 6.5 TOPS at 2 W (3.25 TOPS/W), it offers highly efficient power performance.
• Equipped with an ARM Cortex A5 quad-core and various I/O IP blocks, it enables a one-chip solution.
• It can also be used as a co-processor alongside existing processors. Moreover, a DRAM-less system using only on-chip memory (8 MB cache) is possible, making the solution compact and low-cost.

Examples of Possible Functions

[Self-Position Estimation]

• Visual/LiDAR SLAM, distance measurement

[AI Inference]

• YOLO, OpenPOSE, fingerprint authentication, palmprint authentication, face detection, etc.

[Image Processing (OpenCV library)]

• Correction: Lens distortion correction, perspective correction, arbitrary-coefficient filtering, bilateral filtering, non-linear filtering, distance filtering
• Recognition: SAD, SSD
• Transformation: Morphological operations, thinning, blending, Hough transform
• Feature Extraction: FAST, SIFT, Harris corner detection, labeling, perimeter/area calculation, FFT, etc.

[Audio Processing]

• Frequency conversion, FIR filtering, modulation, rate conversion, mixing, etc.

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