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Google combined Murata’s compact package technology and Google’s own Edge TPU chip enabling power-efficient and high-performance machine learning inference to create a new compact AI module.
Enclosing Google’s Edge TPU ASIC in a package with a smaller footprint simplifies the design of the printed circuit board.
The Accelerator Module is a multi-chip module (MCM) integrating the Edge TPU and exclusive power control technology. Compactness is key to achieving extremely robust functionality in devices with limited space, because it is essential to optimize use of all space on circuit boards.
Designed by Google, the Edge TPU is a compact ASIC that speeds up model estimation times while using very little power. Murata’s compact package technology and power supply design (noise suppression) make it possible to achieve a high-performance, compact product that takes up very little space.
When implemented on the latest embedded CPU or the Coral Dev Board, a comparison of model estimation times using TensorFlow Lite format shows that inference time is substantially reduced and confirms that genuinely high performance can be achieved.
Coral is a local AI platform that helps bring on-device AI application ideas from prototype to production. Coral offer a platform of hardware components, software tools, and pre-compiled models for building devices with local AI. creating a flexible development system that makes it easy to grow embedded AI products into reality. By working with creators, designers, engineers, manufacturers, and industry, Coral is helping to build truly beneficial AI for our world.
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.
Key phrase detection
Listen to audio samples and quickly recognize known words and phrases.
Manufacturing
Quality control, safety monitoring, predictive maintenance, etc.
Healthcare
Patient care, medical image generation,
low-cost diagnosis, home care, etc.
Agriculture
Soil analysis, sorting produce, disease detection,
precision agriculture, etc.
Automotive
Safe driving assistance, status monitoring, seamless control of vehicle systems, operation verification, etc.
Use the Google Coral form to make inquiries about the solution described above.
Note: Murata is unable to provide product support or respond to questions regarding the product.
For more information, contact Coral sales.
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Google combined Murata’s compact package technology and Google’s own Edge TPU chip enabling power-efficient and high-performance machine learning inference to create a new compact AI module.