Why Coral
Internet of Things (IoT) and artificial intelligence (AI) applications are typically resource-constrained in terms of power, memory and computation. This triggers the development of more efficient algorithms and computational methods. For lightweight models with small datasets, and inference applications that require low power consumption and low latency compute resource, Google’s Coral Edge TPU is simply the best.
About Coral Edge TPU
ASUS IoT is dedicated to providing ideal solutions for the era of IoT and AI. Together with Google technology and the Coral toolkit, the Coral Edge TPU empowers you to build products that are efficient, private, fast and offline.
Object detection
Draw a square around the location of various recognized objects in an image.
Pose estimation
Estimate the poses of people in an image by identifying various body joints.
Image segmentation
Identify various objects in an image and their location on a pixel-by-pixel basis.
Pose estimation
Estimate the poses of people in an image by identifying various body joints.
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Discover the Form Factor Fit for Your AI Applications
Prototyping
Production
Accessories
These products make it easy to take your idea from sketch to proof-of-concept.
A development board to quickly prototype on-device ML products. Scale from prototype to production with a removable system-on-module (SoM)