As intelligent manufacturing continues to evolve, visual defect detection has become a core method for ensuring production quality. By combining high-speed cameras, AI models, and edge computing, manufacturers can accurately identify product defects in real time, reduce labor dependence, and improve yield rates. Among many hardware choices, the ARM Industrial PC (ARM-based Industrial Computer) stands out with its high performance, low power consumption, flexible expandability, and long-term stability, making it a preferred computing platform for defect detection systems.
Modern ARM SoCs—such as Rockchip RK3576, RK3568, RK3588, and Cortex-A76/A55 architectures—deliver strong computing performance.
Many ARM IPCs integrate GPU/NPU accelerators offering 1–20 TOPS, enabling:
Surface defect detection (scratches, dents, stains)
Dimensional inspection (offset, deformation)
Classification (OK/NG)
Image segmentation
OCR and code reading (dot codes, laser marks)
This makes ARM IPCs a cost-effective alternative to GPU-based industrial vision systems.
Compared with x86 industrial computers, ARM IPCs provide:
Only 1/3 to 1/5 of the power consumption of x86 devices
Fanless thermal design for 24/7 stable operation
Industrial-grade temperature resistance and anti-vibration design
Better deployment flexibility for dense production environments
This makes them ideal for multi-station defect inspection systems that need large-scale deployment.
ARM IPCs typically offer comprehensive industrial I/O interfaces:
GigE / USB industrial cameras
RS485, RS232, CAN, DI/DO
EtherCAT, Modbus
They can be directly integrated with:
PLCs (Siemens, Mitsubishi, Omron, etc.)
Robots and robotic arms
Servo systems and reject mechanisms
MES / SCADA systems
As a result, ARM IPCs act as the central edge node of a complete vision inspection workflow.
Based on Linux or Android, ARM IPCs support a wide range of AI and vision frameworks:
ONNX Runtime (ARM optimized)
TensorRT (available on certain SoCs)
OpenVINO (ARM version)
OpenCV
Lightweight PyTorch/TF Lite models
This makes it possible to integrate image processing, inference, communication, and UI into a single device.
Detectable issues:
Missing parts
Wrong components
Soldering defects
Misalignment
Polarity/orientation errors
Paired with multi-camera setups and segmentation models, ARM IPCs can perform millisecond-level inspection.
Detectable defects include:
Scratches and dents
Burrs
Cracks
Dimensional deviations
Coating inconsistencies
With built-in NPUs, ARM IPCs can process high-resolution images in real time even in harsh factory environments.
Common defects:
Sink marks
Black spots
Flow marks
Wrinkles
Deep learning significantly enhances the accuracy of micro-defect recognition on plastic products.
ARM IPCs are ideal for:
Label misalignment
Missing or unclear printing
Packaging damage
OCR and barcodes
Low power consumption makes them suitable for extensive deployment across long packaging lines.
A complete ARM-based defect detection system typically includes:
Industrial Camera – captures high-speed images
ARM Industrial PC – performs preprocessing, AI inference, and defect analysis
IO module / Robot – handles sorting or rejection
MES/ERP System – records inspection data and generates reports
Cloud Platform (optional) – remote monitoring and model updates
A lightweight yet powerful AI inference platform
Lower power consumption, ideal for large-scale deployment
Rich industrial I/O for seamless factory integration
Highly customizable software and OS environment
Reliable long-term performance in harsh conditions
With the growing adoption of deep learning and edge AI, ARM Industrial PCs are becoming essential computing units in intelligent inspection systems—delivering higher efficiency, lower cost, and more stable quality assurance for modern manufacturing.
