RSC100 – Edge AI Computer for Smart City Applications

News06 Jan 2022RSC100
Author: James Gane
RSC100 – Edge AI Computer for Smart City Applications
  • Hailo-8 Edge AI processor, with up to 26 TOPS of performance, outperforms all other Edge processors 
  • Rich I/O connectivity to suit a wide range of smart AI applications 
  • Wide operating temperature from -20°C to +70°C for rugged environments
The RSC100 is an ARM-based Edge embedded PC featuring the Hailo-8 AI accelerator, a streamlined processing unit for AI applications that can offer up to 26 TOPs of int-8 performance in a cost-effective, power-efficient unit. The Edge system combined with Hailo-8 is suited for a wide range of uses including public safety, smart factory, agriculture and intelligent transportation.

ARM-powered Edge device with rich I/O and connectivity options

The system chassis is made up of aluminium and heavy-duty steel with an IP40 rating and supports a wide operating temperature of -20°C to +70°C, ideal for use in harsh, industrial environments where the temperatures can vary throughout operation. Being an Edge device the RSC100 is kitted out with dual Gigabit Ethernet ports, an M.2 3052 B-key slot which can be used to install a 5G module and two full-size miniPCIe slots for expansion.  The RSC100 also has seven SMA antenna breakout holes to meet the wireless comms requirements of your application.  
The 8-core ARM processor is backed up with 4GB of LPDDR4 system memory and has 16GB of eMMC storage onboard as standard as well as an M.2 2280 M-key SSD slot with PCIe x4 NVMe support and a MicroSD card slot for additional storage.  Further I/O includes a built-in HDMI 2.0 port with 4K resolution support, two serial ports supporting RS-232/422/485, two CANbus ports, two USB2.0 ports and 8-channels of digital I/O, (4-DI/4-DO).  Embedded operating system support comes in the shape of Yocto Linux 3.0. 
All of this I/O, software and connectivity combined with an AI focused microprocessor that uses just 2.5W whilst achieving 26TOPs of INT-8 performance, means the RSC100 can process complex deep learning neural networks out at the Edge in a wide range of smart embedded applications. 

About our Embedded Systems capabilities

As with all our embedded computing range, Impulse can fully configure the RSC100 to your exact specifications in our UK-based engineering facility with your choice of storage, peripheral cards, operating system, and neural network.   

With our Embedded Systems capabilities, we can create reliable, repeatable, and revision-controlled systems aimed at reducing overall project costs and development time. With our team of in-house engineers and specialists, all with decades of experience, we can offer you fully deployable embedded computing solutions straight out of the box. 

For more details regarding our Embedded Systems capabilities please click here
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Richard B.
Given we're in the middle of a global components shortage, the team at Impulse have gone out of their way to ensure our strict supply requirements are met. To this day, Impulse remain to be a cornerstone supplier and partner for our business.
Sep 2021
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