Single Board Computers (SBCs), Computer On Module (COM)

Image Part Number Description / PDF Quantity Rfq
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SC0280

Raspberry Pi

COMPUTE 4 4GB RAM 8GB EMMC WIFI

0

CM3 LITE

CM3 LITE

Raspberry Pi

RASPBERRY PI COMPUTE 3 LITE BCM2

0

SC0384

SC0384

Raspberry Pi

PI 400 US KIT

0

SC0286

SC0286

Raspberry Pi

COMPUTE 4 8GB RAM 32GB EMMC WIFI

0

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Raspberry Pi

COMPUTE 4 1GB RAM 8GB EMMC

0

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Raspberry Pi

COMPUTE 4 8GB RAM 8GB EMMC WIFI

0

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Raspberry Pi

COMPUTE 4 2GB RAM 32GB EMMC WIFI

0

SC0375

SC0375

Raspberry Pi

PI 400 FR

0

SC0275

SC0275

Raspberry Pi

COMPUTE 4 2GB RAM 0GB LITE WIFI

0

RASPBERRY PI A+

RASPBERRY PI A+

Raspberry Pi

RASPBERRY PI MODEL A+ BCM2835

745

SC0321

SC0321

Raspberry Pi

COMPUTE 4 1GB RAM 32GB EMMC

0

CM3 DEV KIT

CM3 DEV KIT

Raspberry Pi

RASPBERRY PI COMPUTE 3 BCM2837

0

SC0282

SC0282

Raspberry Pi

COMPUTE 4 4GB RAM 32GB EMMC WIFI

0

SC0383

SC0383

Raspberry Pi

PI 400 UK KIT

0

SC0285

SC0285

Raspberry Pi

COMPUTE 4 8GB RAM 16GB EMMC WIFI

0

RASPBERRY PI 2 MODEL B

RASPBERRY PI 2 MODEL B

Raspberry Pi

RASPBERRY PI 2 MODEL B BCM2836

545

SC0320

SC0320

Raspberry Pi

COMPUTE 4 1GB RAM 16GB EMMC

31

SC0292

SC0292

Raspberry Pi

COMPUTE 4 4GB RAM 8GB EMMC

0

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SC0289

Raspberry Pi

COMPUTE 4 2GB RAM 16GB EMMC

0

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SC0297

Raspberry Pi

COMPUTE 4 8GB RAM 16GB EMMC

0

Single Board Computers (SBCs), Computer On Module (COM)

1. Overview

Embedded computers are specialized computing systems designed for specific tasks within larger mechanical or electrical systems. Single Board Computers (SBCs) integrate all computer components on a single circuit board, providing a compact and self-contained solution. Computer On Module (COMs) are standardized modules containing core computing components, designed to be integrated into carrier boards for customized applications. These technologies are critical in industrial automation, IoT, robotics, and edge computing due to their reliability, scalability, and space efficiency.

2. Main Types and Functional Classification

TypeFunctional CharacteristicsApplication Examples
SBC (e.g., Raspberry Pi)Complete system with CPU, RAM, storage, and I/O interfacesSmart home devices, educational tools
COM (e.g., COM Express)Modular design with processor, memory, and basic I/O; requires carrier boardMedical imaging systems, industrial controllers
Industrial SBCRuggedized components for harsh environmentsFactory automation, outdoor kiosks

3. Structure and Components

A typical SBC includes a processor (ARM/x86), RAM, flash storage (eMMC/NOR), power management unit, and interfaces (USB, HDMI, GPIO). COMs feature a dense layout with SoC (System on Chip), DDR4 memory packages, thermal dissipation layers, and high-speed connectors. Both utilize PCB substrates with multi-layer routing for signal integrity.

4. Key Technical Specifications

ParameterDescriptionImportance
CPU PerformanceMeasured in DMIPS or GHzDetermines processing capability
Thermal Design Power (TDP)Power consumption in wattsImpacts cooling requirements
Interface TypesUSB 3.0, PCIe, CAN, etc.Dictates peripheral compatibility
Operating Temperature-40 C to +85 C rangeDefines environmental tolerance

5. Application Areas

  • Industrial: CNC machines, PLC controllers
  • Healthcare: Patient monitoring systems, diagnostic equipment
  • Transportation: In-vehicle infotainment, ADAS
  • Smart Cities: Surveillance cameras, environmental sensors

6. Leading Manufacturers and Products

ManufacturerProduct SeriesKey Features
Raspberry Pi FoundationRaspberry Pi 4 Model BQuad-core Cortex-A72, 4K HDMI
IntelCOM Express modules11th Gen Core processors, PCIe 4.0
NVIDIAJETSON AGX XavierAI accelerator, 32 TOPS performance
AdvantechAIMB-236 SBCIntel Atom x6425E, -20 C to 70 C operation

7. Selection Guidelines

Consider processing requirements, power constraints, environmental conditions, and long-term availability. For industrial applications, prioritize extended temperature ranges and RoHS compliance. Evaluate ecosystem support (OS compatibility, SDKs) and choose modular designs for future upgrades.

8. Industry Trends

Key trends include AI integration at the edge, adoption of RISC-V architecture, increased use of heterogeneous computing (CPU+GPU+NPU), and standardization of COM interfaces (e.g., SMARC 2.0). Energy efficiency improvements and cybersecurity features are becoming critical for IoT deployments.

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