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Medical AI Accelerator ACCEL-JS500 with SDI Video input

2021/04/08

ACCEL-JS500 fully supports NVIDIA® Jetson AGX Xavier™ which aims it at Medical AI use cases for edge computing such Endoscopy with only 170mm x 130mm x 60 mm dimension.


ACCEL-JS500 equips 512-core Volta GPU with 64 Tensor Cores, octal-core NVIDIA Carmel ARMv8.2 CPU at 2.26GHz, and dual Deep Learning Accelerator (DLA) engines. By using GPU and DLA, Xavier provides 16 TFLOP for deep learning network model, and only consumes maximum 30W power.

 


This device supports 2 built in speaker in order to set up alerts and alarms for doctor or operator during surgery, allowing surgeon to better care for their patients or to be cautious for device status

 

More importantly, ACCEL-JS500 provides SDI video input including 3G and 12G SDI, since SDI interface is the most common use in all kind of medical device in operating room. the video input interface can be used to capture image or video to do AI computing and analysis


Although Nvidia AGX Xavier platform may consume 30 power , Onyx excellent thermal design team has done great work to make ACCEL-JS500 to be fanless system , it could make the system more durable. Also the flat surface design on top and side provides the ease of cleanness.

 


For the video output interface, the product provides two 4K video output interfaces including HDMI 2.0 and Display port 1.4.

 


ACCEL-JS500 offers 2 different mounting kits, one is the wall mounting kit , another is the vertical mounting kit , more importantly, its tiny and compact design allows the system to fit in different installation environment.

 

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