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

Image	Part Number	Description / PDF	Quantity	Rfq
	SLS12RT52_528C_0R_4QSPI_0SF_I SoMLabs	VISIONSOM MODULE, I.MX RT 1052 @	0
	SLS16Y2_792C_512R_04GE_1WB_SI SoMLabs	VISIONSOM MODULE, I.MX 6ULL Y2 @	0
	SLS16Y2_792C_512R_04GE_0SF_I SoMLabs	VISIONSOM MODULE, I.MX 6ULL Y2 @	0
	SLS16Y2_792C_512R_512N_0SF_I SoMLabs	VISIONSOM MODULE, I.MX 6ULL Y2 @	0
	SLS16Y2_792C_512R_512N_1WB_SI SoMLabs	VISIONSOM MODULE, I.MX 6ULL Y2 @	0
	SLS12RT62_528C_0R_4QSPI_0SF_I SoMLabs	VISIONSOM MODULE, I.MX RT 1062 @	0
	SLS16Y2_792C_256R_256N_1WB_SI SoMLabs	VISIONSOM MODULE, I.MX 6ULL Y2 @	0
	SLS12RT62_528C_32R_16QSPI_0SF_I SoMLabs	VISIONSOM MODULE, I.MX RT 1062 @	0
	SLS18MP157A_650C_512R_USD_0SF_C SoMLabs	VISIONSOM MODULE, STM32MP157A @	0
	SLS16Y2_792C_512R_SD_1WB_C SoMLabs	VISIONSOM MODULE, I.MX 6ULL Y2 @	0
	SLS18MP157A_650C_512R_USD_1WB_C SoMLabs	VISIONSOM MODULE, STM32MP157A @	0
	SLS18MP157A_650C_512R_04GE_1WB_C SoMLabs	VISIONSOM MODULE, STM32MP157A @	0
	SLS23X8MMQC_1800C_02GR_08GE_1WB_C SoMLabs	VISIONSOM MODULE, I.MX 8M MINI Q	0
	SLS23X8MMQC_1800C_02GR_08GE_0SF_C SoMLabs	VISIONSOM MODULE, I.MX 8M MINI Q	0
	SLS12RT52_528C_32R_16QSPI_0SF_I SoMLabs	VISIONSOM MODULE, I.MX RT 1052 @	0
	SLS18MP157A_650C_512R_04GE_0SF_C SoMLabs	VISIONSOM MODULE, STM32MP157A @	0
	SLS16Y2_792C_512R_SD_0SF_C SoMLabs	VISIONSOM MODULE, I.MX 6ULL Y2 @	0
	SLS16Y2_792C_256R_256N_0SF_I SoMLabs	VISIONSOM MODULE, I.MX 6ULL Y2 @	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

Type	Functional Characteristics	Application Examples
SBC (e.g., Raspberry Pi)	Complete system with CPU, RAM, storage, and I/O interfaces	Smart home devices, educational tools
COM (e.g., COM Express)	Modular design with processor, memory, and basic I/O; requires carrier board	Medical imaging systems, industrial controllers
Industrial SBC	Ruggedized components for harsh environments	Factory 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

Parameter	Description	Importance
CPU Performance	Measured in DMIPS or GHz	Determines processing capability
Thermal Design Power (TDP)	Power consumption in watts	Impacts cooling requirements
Interface Types	USB 3.0, PCIe, CAN, etc.	Dictates peripheral compatibility
Operating Temperature	-40 C to +85 C range	Defines 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

Manufacturer	Product Series	Key Features
Raspberry Pi Foundation	Raspberry Pi 4 Model B	Quad-core Cortex-A72, 4K HDMI
Intel	COM Express modules	11th Gen Core processors, PCIe 4.0
NVIDIA	JETSON AGX Xavier	AI accelerator, 32 TOPS performance
Advantech	AIMB-236 SBC	Intel 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.