MACHINE VISION · AI EDGE COMPUTING · INDUSTRIAL PC

Machine Vision
AI Edge Computing Platform

Low-latency multi-camera capture + GPU/Jetson edge-AI compute for surface inspection, 3D metrology, robot guidance, vision sorting, and defect classification. GigE / USB3 / PoE+ multi-interface, PCIe ×16 GPU expansion, millisecond response — the industrial-vision compute foundation.

275 TOPS AI Compute 8+ GigE / USB3 Cameras <10 ms Inference Latency
EA-N500 Jetson Orin edge-AI industrial PC connected to GigE cameras on a PCBA AOI inspection line MACHINE VISION
INDUSTRY CHALLENGES

Why Machine Vision Pushes Industrial PCs to the Limit

High-speed line inspection requires processing 200–300 images per second; a single-frame inference above 50 ms drops frames — industrial vision pushes hardware real-time behavior, compute density, and I/O throughput to the limit.

Millisecond-Class Latency

High-speed lines see 200+ parts per second; the camera exposure → image processing → AI inference → control signal chain must complete in under 10 milliseconds. Standard GPU workstations jitter too much — you need deterministic industrial PCs + real-time OS.

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Multi-Camera High Throughput

Complex inspection stations need 4–8 GigE or USB3 cameras simultaneously, with 5–25 MB per frame. You need multiple PCIe lanes, multi-GbE + PoE+, and sufficient bandwidth to avoid frame loss.

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AI Compute + Thermal Design

Deep-learning inference requires NVIDIA Jetson Orin or discrete GPU, 100–275 TOPS. Server fans aren't viable in an industrial environment — you need fanless cooling + smart thermal management + long-term stability.

TYPICAL SCENARIOS

4 Typical Machine-Vision Deployment Scenarios

From 2D AOI to 3D metrology to robot guidance to sortation — CESIPC industrial AI platforms cover the full stack.

01 8 GigE + GPU

High-Speed Line AOI Defect Inspection

PCBA / automotive parts / semiconductor / packaging automated optical inspection

  • Need: 4–8 GigE industrial cameras synchronized + GPU defect classification
  • Solution: ComputeOps™ Modular EPC-202B + Jetson Orin edge AI
  • Spec: PCIe ×16 GPU slot + multi-GbE, <10 ms inference latency
  • Software: OpenCV / Halcon / VisionPro / custom-trained models
02 USB3 + Trigger Sync

3D Metrology / Structured Light

3D surface measurement, laser profile scanning, structured-light / ToF 3D imaging

  • Need: USB3 / GigE dual-mode cameras + hardware trigger sync + high bandwidth
  • Solution: ComputeOps™ Standard EPC-102A + edge AI
  • Spec: i7 + 16–32 GB + NVMe SSD + multi-GbE/USB3
  • Software: Halcon 3D / Open3D / industrial CT / metrology software
03 AI + Robot

Robot Vision Guidance (VGR)

6-axis / SCARA robots + eye-in-hand / eye-to-hand visual guidance for picking

  • Need: AI instance segmentation + pose estimation + robot communication
  • Solution: EA-N200 / EA-N500 Jetson Orin AI industrial PC
  • Spec: 100/200/275 TOPS + Modbus / EtherNet/IP / PROFINET buses
  • Use: Bin picking / assembly guidance / material identification
04 High-Throughput + Multi-Protocol

Vision Sortation Systems

X-ray sortation / color sorting / parcel sorting / agricultural grading

  • Need: Multi-camera + high-speed I/O + multi-protocol control of jets/diverters
  • Solution: EPC-202B modular + i-Function isolated I/O expansion card
  • Spec: Multi-GbE / RS-485 / DI/DO / CAN bus
  • Use: 1000+ FPS sortation / defect rejection / grading
TYPICAL APPLICATIONS

Typical Machine Vision Applications

🔍 Automated Optical Inspection (AOI) 📐 3D Surface Metrology 🤖 Vision-Guided Robotics (VGR) 🎯 Defect-Classification AI Inference 📦 Parcel Vision Sortation 🌾 Agricultural Color Grading 💊 Pharmaceutical Capsule Inspection 🚗 Automotive Surface Inspection 🔬 Semiconductor Wafer Inspection 📋 PCB Solder-Joint Inspection 🍎 Foreign-Object Rejection in Food ⚡ High-Speed Inline Inspection
MACHINE VISION PROJECT

Have a Machine-Vision Project? Tell Us the Scenario

Share your project background (AOI / 3D / robot guidance / sortation), camera count and protocols, AI compute needs, vision software, and real-time requirements — our engineers will respond within 24 hours with a full solution, recommended models, and sample evaluation plan.

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