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Edge AI Panel PCs

AI Panel PCs for Vision at the Machine and on the Vehicle

An edge AI panel PC puts the AI processor behind the touch screen, so the vision model, the camera inputs and the operator interface run in one unit instead of a box PC and a separate monitor. Available from 10.1 to 32 inches, on NVIDIA Jetson Orin modules or Intel Core with an optional NVIDIA RTX GPU card.

Options include IP66 builds with GMSL2 or PoE+ camera ports and M12 connectors, optically bonded high-brightness screens and larger touch computers with a full GPU slot, suited to inspection stations, autonomous vehicles, robots and smart kiosks where the operator needs to see what the model sees.

Speak to an edge AI specialist to match the AI performance, camera inputs and screen to your application.

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  • Display: 10.1"[5:3, 1280 x 800, WXGA]
  • Touch: Projective Capacitive Touch
  • Brightness: 1000
  • Viewing Angle: Wide Viewing Angle
  • Format: Widescreen
  • OS: Linux
  • USB: 2x USB 2.0 [M8], 1x USB 3.2 Gen 1 [Type A]
  • Serial: 1x RS232 [M8], 1x RS232/422/485 [M8]
  • CANbus: 1x CAN FD [M8]
  • M.2: 1x M.2 B-Key [USB] [3042/3052], 1x M.2 E-Key [USB] [2230], 1x M.2 M-Key [PCIe] [2242]
  • Storage: 1x M.2 SSD
  • Power: 9-60V DC Input [M12]
  • Ignition Sensing: Supports Ignition Control
  • Temp: -25°C to 60°C [-13°F to 140°F]
  • IP Rating: IP66
  • Certification: CE, E-Mark, FCC, UKCA
  • Mounting Options: VESA Mount
  • AI Performance: 40 TOPS
  • SOM: NVIDIA Jetson Orin Nano 8GB
  • Memory: 8GB Soldered On-board
  • Ethernet: 1x 2.5 GbE LAN [M12], 1x GbE LAN [M12]
COMPARE VARIANTS
Select VPC-101RB2S Variant
VPC-101RB2S-OB-G2-ON8 : VPC-101RB2S-OB-G2-ON8 with Orin Nano 8GB, 4x GMSL-2 on FAKRA and 10.1" bonded touchscreen
VPC-101RB2S-OB-G2-ONX16 : VPC-101RB2S-OB-G2-ONX16 with Orin NX 16GB, 4x GMSL-2 on FAKRA and 10.1" bonded touchscreen
VPC-101RB2S-OB-G2-ONX8 : VPC-101RB2S-OB-G2-ONX8 with Orin NX 8GB, 4x GMSL-2 on FAKRA and 10.1" bonded touchscreen
VPC-101RB2S-OB-ON8 : VPC-101RB2S-OB-ON8 with Orin Nano 8GB, 10.1" optically bonded touchscreen, 2.5GbE and CAN FD
VPC-101RB2S-OB-ONX16 : VPC-101RB2S-OB-ONX16 with Orin NX 16GB, 10.1" optically bonded touchscreen, 2.5GbE and CAN FD
VPC-101RB2S-OB-ONX8 : VPC-101RB2S-OB-ONX8 with Orin NX 8GB, 10.1" optically bonded touchscreen, 2.5GbE and CAN FD
VPC-101RB2S-OB-P-ON8 : VPC-101RB2S-OB-P-ON8 with Orin Nano 8GB, 4x GbE PoE+ on M12 and 10.1" bonded touchscreen
VPC-101RB2S-OB-P-ONX16 : VPC-101RB2S-OB-P-ONX16 with Orin NX 16GB, 4x GbE PoE+ on M12 and 10.1" bonded touchscreen
VPC-101RB2S-OB-P-ONX8 : VPC-101RB2S-OB-P-ONX8 with Orin NX 8GB, 4x GbE PoE+ on M12 and 10.1" bonded touchscreen
  • Display: 10.1"[8:5, 1920 x 1200, WUXGA]
  • Brightness: 1000
  • Format: Standard
  • OS: Linux
  • USB: 2x USB 2.0 [M12]
  • Serial: 1x RS232 [M12]
  • CANbus: 1x CAN FD [M12]
  • M.2: 1x M.2 B-Key [PCIe x1/USB/SIM] [3042/3052], 1x M.2 M-Key [PCIe x1 Gen3] [2242]
  • mPCIe: 1x mPCIe [PCIe/USB]
  • Storage: 1x M.2 SSD
  • Power: 8-35V DC [M12]
  • Ignition Sensing: Supports Ignition Control
  • Temp: -25°C to 60°C [-13°F to 140°F]
  • IP Rating: IP66
  • Certification: CE, FCC
  • Mounting Options: VESA Mount
  • AI Performance: 70 TOPS
  • SOM: NVIDIA Jetson Orin NX 8GB
  • Ethernet: 1x GbE LAN [M12], 4x GbE LAN [M12] [PoE]
COMPARE VARIANTS
Select NRU-170-PPC Variant
NRU-172S-PPC-JONX-8GB : NRU-172S-PPC with NVIDIA Jetson Orin NX 8GB
NRU-171V-PPC-JONN-4GB : NRU-171V-PPC with NVIDIA Jetson Orin Nano 4GB
NRU-171V-PPC-JONN-8GB : NRU-171V-PPC with NVIDIA Jetson Orin Nano 8GB
NRU-171V-PPC-JONX-16GB : NRU-171V-PPC with NVIDIA Jetson Orin NX 16GB
NRU-171V-PPC-JONX-8GB : NRU-171V-PPC with NVIDIA Jetson Orin NX 8GB
NRU-172S-PPC-JONN-4GB : NRU-172S-PPC with NVIDIA Jetson Orin Nano 4GB
NRU-172S-PPC-JONN-8GB : NRU-172S-PPC with NVIDIA Jetson Orin Nano 8GB
NRU-172S-PPC-JONX-16GB : NRU-172S-PPC with NVIDIA Jetson Orin NX 16GB
  • Display: 19"[5:4, 1280 x 1024, SXGA]
  • Touch: Multi Touch PCAP
  • Brightness: 250
  • Viewing Angle: Wide Viewing Angle
  • Format: Standard
  • CPU: Intel Core 14th Gen Raptor Lake Refresh, Intel Core 12th Gen Alder Lake
  • GPU / AI Accelerator: Discrete GPU (PCIe), Hailo-8 AI Accelerator
  • GPU: RTX 4000E Ada, RTX A1000, NVIDIA RTX 2000E Ada
  • AI Performance: 26–142 TOPS
  • OS: Linux Ubuntu 24.04, Windows 11
  • Display Outputs: 1x Display Port
  • Ethernet: 2x 2.5 GbE LAN [RJ45]
  • USB: 4x USB 3.2 Gen 2 [Type A]
  • Serial: 1x RS232/422/485 [DB9]
  • M.2: 1x M.2 E-Key [2230]
  • Storage: 1x M.2 SSD, 2x 2.5" HDD/SSD
  • Power: 80-264V AC
  • Temp: 0°C to 55°C [32°F to 131°F]
  • IP Rating: Front IP65
  • Certification: CE, FCC
  • Display: 21.5"[16:9, 1920 x 1080, FHD]
  • Touch: Multi Touch PCAP
  • Brightness: 250
  • Viewing Angle: Wide Viewing Angle
  • Format: Widescreen
  • CPU: Intel Core 14th Gen Raptor Lake Refresh, Intel Core 12th Gen Alder Lake
  • GPU / AI Accelerator: Discrete GPU (PCIe), Hailo-8 AI Accelerator
  • GPU: RTX 4000E Ada, RTX A1000, NVIDIA RTX 2000E Ada
  • AI Performance: 26–142 TOPS
  • OS: Linux Ubuntu 24.04, Windows 11
  • Display Outputs: 1x Display Port
  • Ethernet: 2x 2.5 GbE LAN [RJ45]
  • USB: 4x USB 3.2 Gen 2 [Type A]
  • Serial: 1x RS232/422/485 [DB9]
  • M.2: 1x M.2 E-Key [2230]
  • Storage: 1x M.2 SSD, 2x 2.5" HDD/SSD
  • Power: 80-264V AC
  • Temp: 0°C to 55°C [32°F to 131°F]
  • IP Rating: Front IP65
  • Certification: CE, FCC
  • Display: 23.8"[16:9, 1920 x 1080, FHD]
  • Touch: Multi Touch PCAP
  • Brightness: 250
  • Viewing Angle: Wide Viewing Angle
  • Format: Widescreen
  • CPU: Intel Core 14th Gen Raptor Lake Refresh, Intel Core 12th Gen Alder Lake
  • GPU / AI Accelerator: Discrete GPU (PCIe), Hailo-8 AI Accelerator
  • GPU: RTX 4000E Ada, RTX A1000, NVIDIA RTX 2000E Ada
  • AI Performance: 26–142 TOPS
  • OS: Linux Ubuntu 24.04, Windows 11
  • Display Outputs: 1x Display Port
  • Ethernet: 2x 2.5 GbE LAN [RJ45]
  • USB: 4x USB 3.2 Gen 2 [Type A]
  • Serial: 1x RS232/422/485 [DB9]
  • M.2: 1x M.2 E-Key [2230]
  • Storage: 1x M.2 SSD, 2x 2.5" HDD/SSD
  • Power: 80-264V AC
  • Temp: 0°C to 55°C [32°F to 131°F]
  • IP Rating: Front IP65
  • Certification: CE, FCC
  • Display: 27"[16:9, 1920 x 1080, FHD]
  • Touch: Multi Touch PCAP
  • Brightness: 300
  • Viewing Angle: Wide Viewing Angle
  • Format: Widescreen
  • CPU: Intel Core 14th Gen Raptor Lake Refresh, Intel Core 12th Gen Alder Lake
  • GPU / AI Accelerator: Discrete GPU (PCIe), Hailo-8 AI Accelerator
  • GPU: RTX 4000E Ada, RTX A1000, NVIDIA RTX 2000E Ada
  • AI Performance: 26–142 TOPS
  • OS: Linux Ubuntu 24.04, Windows 11
  • Display Outputs: 1x Display Port
  • Ethernet: 2x 2.5 GbE LAN [RJ45]
  • USB: 4x USB 3.2 Gen 2 [Type A]
  • Serial: 1x RS232/422/485 [DB9]
  • M.2: 1x M.2 E-Key [2230]
  • Storage: 1x M.2 SSD, 2x 2.5" HDD/SSD
  • Power: 90-264V AC
  • Temp: 0°C to 55°C [32°F to 131°F]
  • IP Rating: Front IP65
  • Certification: CE, FCC
  • Display: 32"[16:9, 1920 x 1080, FHD]
  • Touch: Multi Touch PCAP
  • Brightness: 400
  • Viewing Angle: Wide Viewing Angle
  • Format: Widescreen
  • CPU: Intel Core 14th Gen Raptor Lake Refresh, Intel Core 12th Gen Alder Lake
  • GPU / AI Accelerator: Discrete GPU (PCIe), Hailo-8 AI Accelerator
  • GPU: RTX 4000E Ada, RTX A1000, NVIDIA RTX 2000E Ada
  • AI Performance: 26–142 TOPS
  • OS: Linux Ubuntu 24.04, Windows 11
  • Display Outputs: 1x Display Port
  • Ethernet: 2x 2.5 GbE LAN [RJ45]
  • USB: 4x USB 3.2 Gen 2 [Type A]
  • Serial: 1x RS232/422/485 [DB9]
  • M.2: 1x M.2 E-Key [2230]
  • Storage: 1x M.2 SSD, 2x 2.5" HDD/SSD
  • Power: 90-264V AC
  • Temp: 0°C to 55°C [32°F to 131°F]
  • IP Rating: Front IP65
  • Certification: CE, FCC
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Edge AI Panel PC Ranges Configured by Things Embedded

We work with the leading manufacturers of AI touch computers, so the ranges below are the ones we specify for inspection, robotics and vehicle vision. Compare them by AI module, camera inputs and screen size, then browse the models above or ask an edge AI specialist which range suits your application.

Winmate GP Edge AI Panel PCs
Winmate

Winmate GP Edge AI Panel PCs

Large 19 to 32 inch operator screens on 12th or 14th Gen Intel Core, with an optional NVIDIA RTX Ada GPU for AI workloads.

Not sure which range fits? Tell us the application and we will recommend the right model.

What to Specify in an AI Panel PC

Our edge AI specialists specify every AI panel PC against the model, the cameras and the place it is mounted. These are the choices that decide whether the computer suits the installation, and the ones we work through with you before recommending a range.

AI Acceleration

Jetson Orin NX or Orin Nano modules, or an NVIDIA RTX GPU card, sized to the model.

Camera Ports

GMSL2 or PoE+ camera inputs, matched to the cameras on the machine or vehicle.

Sealing and Connectors

IP66 housings with M12 connectors for vehicles, robots and outdoor sites.

Cooling

Fanless Jetson builds or actively cooled GPU builds, rated for the cabinet temperature.

Screen Size

10.1 inch screens for compact stations up to 32 inch screens for reviewing results.

Software Stack

JetPack, CUDA and the AI frameworks your model needs, confirmed per platform.

Edge AI Panel PC Innovation & Machine Vision Insights

We specialise in AI computers that run vision models where the cameras and operators are. Our team of embedded system design engineers recommends and configures edge AI panel PCs to the AI performance, camera inputs and sealing your machine or vehicle needs. Discover how we help OEMs move inspection and detection onto the touch screen, or read our guides to NVIDIA Jetson and machine vision.
Which NVIDIA Jetson Module Should You Choose 1000x1000
White Paper Choosing the Jetson Module for an Edge AI Panel PC How Orin Nano, Orin NX, AGX Orin and Thor differ on TOPS, power and memory, and how to match the module to the vision workload on the screen.
Understanding GMSL Technology for Industrial Edge AI
White Paper GMSL Camera Inputs on an AI Panel PC Why GMSL links carry several high-resolution cameras to an edge AI computer with low latency, and where robotics and industrial vision use them.
NRU-220S-MIC-712P Case Study Card
White Paper PoE Camera Power Budgets for Edge AI Panel PCs How per-port PoE classes, the total source budget and cable loss decide how many cameras one edge AI computer can power, with a worked example.
// Edge AI Specialists

Speak to an Edge AI Specialist.

Tell us where the system will be installed, the approvals it must meet and the interfaces you need to connect. We will recommend the right form factor, then configure, image and test it before it ships.

Phone · UK +44(0)1785 558 300