GMSL2 vs Ethernet camera:the main differences in embedded vision

Aug 15, 2025Leave a message

Transmitting high-quality, high-bandwidth image data has always been crucial for vision system design. This is particularly true in areas like autonomous driving, industrial automation, and robotics, where long-distance, low-latency, and highly reliable data transmission is crucial. GMSL2 cameras and Ethernet cameras are two mainstream technology solutions. Each has its own technical advantages and applicable scenarios, but also presents its own challenges.

 

As a consultant specializing in camera modules, this article will provide an in-depth analysis of the principles, architecture, and performance differences between these two high-speed transmission technologies: GMSL2 and Ethernet. From an engineer's perspective, we will explore the pros and cons of GMSL2 vs. Ethernet and provide a practical selection guide to help you make the most informed decision for your embedded vision application.

 

What is a GMSL2 Camera?

GMSL2 (Gigabit Multimedia Serial Link 2) is a serial communication protocol developed by Maxim Integrated (now Analog Devices). It is designed for high-bandwidth, low-latency video and control data transmission in automotive and industrial applications. A GMSL2 camera module typically consists of a CMOS image sensor and a GMSL2 serializer chip. This serializer packages and transmits MIPI CSI-2 data streams from sensors at high speed.

 

The core of GMSL2 lies in its efficient architecture. It can simultaneously transmit high-speed image data, bidirectional control commands, and power over a single coaxial cable or shielded twisted pair (STP) cable. This "single-cable" integration significantly simplifies wiring harness design, reducing cabling cost and complexity. This is a significant advantage for autonomous driving and ADAS systems, which are space-constrained and sensitive to cable weight.

GMSL2 Camera

 

What is an Ethernet Camera?

An Ethernet camera uses the Ethernet protocol to transmit image data. It leverages familiar network technologies to package image data into standard IP packets and send them over Ethernet cables. An Ethernet camera module typically includes an image sensor, an image signal processor (ISP), and an SoC or FPGA that encapsulates the video stream into Ethernet packets.

 

The advantages of Ethernet lie in its versatility and broad ecosystem. It allows cameras to integrate into existing standard network infrastructures and communicate seamlessly with other network devices. Furthermore, Ethernet for industrial vision is highly mature, supporting industry-standard protocols such as GigE Vision, making camera integration and interoperability simple.

 

What is an Ethernet Cable?

Ethernet cables are the foundation of Ethernet camera connectivity. They consist of multiple twisted pairs of wires used to transmit data between network devices. Ethernet cables come in various types, such as Cat5e, Cat6, and Cat7, depending on the data rate and cable shielding structure.

 

Types of Ethernet Cables

Cat5e supports Gigabit Ethernet, Cat6 supports speeds up to 10Gbps, and Cat7 offers even higher performance. In machine vision and industrial applications, shielded STP (Shielded Twisted Pair) cables are often used to resist electromagnetic interference.

 

Category Transmission Speed (Max) Distance of Transmission Shielding Type Bandwidth (Max)
Cat 5e 1Gbps 100 meters Unshielded 100MHz
Cat 6 1Gbps 100 meters Shielded/Unshielded 250MHz
10Gbps 55 meters
Cat 6a 10Gbps 55 meters Shielded 500MHz
Cat 7 100Gbps 15 meters Shielded 600MHz
Cat 7a 100Gbps 15 meters Shielded 1,000MHz
Cat 8 40Gbps 30 meters Shielded 2,000MHz

 

GMSL2 vs. Ethernet Performance Comparison: Core Technical Specifications

In the embedded vision field, choosing between GMSL2 and Ethernet requires an in-depth comparison based on several core technical specifications.

The following is a detailed performance comparison of GMSL2 vs. Ethernet:

  1. Bandwidth: GMSL2 has a typical bandwidth of 6Gbps, which can support multiple HD video streams, but its bandwidth is fixed. Ethernet bandwidth depends on the standard, such as GigE (1Gbps), 10GigE (10Gbps), and even higher. However, Ethernet bandwidth is shared, and the presence of other devices on the network reduces available bandwidth.
  2. Latency: GMSL2 uses point-to-point serial transmission, resulting in extremely low and deterministic latency, typically in the microsecond range. This is crucial for real-time responsiveness-critical applications like ADAS. Ethernet latency is relatively high and uncertain due to protocol stack processing and network switching, which is a pain point in real-time-critical scenarios.
  3. Reliability and Robustness: GMSL2 inherently offers excellent electromagnetic interference (EMI) immunity, especially over coaxial cables, making it highly resistant to harsh environments like automotive. Automotive Ethernet cameras require more complex cables and connectors to mitigate EMI.
  4. Architecture: GMSL2 uses a point-to-point direct connection architecture, with camera modules directly connected to the host controller chip. Ethernet, on the other hand, uses a multi-drop network architecture, allowing multiple cameras to connect to a single switch, which in turn connects to the host controller.
  5. Cables and Power Consumption: GMSL2 transmits data, control, and power simultaneously over a single cable (PoC, Power over Coax), simplifying cabling and consuming low power. While Ethernet's PoE (Power over Ethernet) can also transmit power, it generally consumes more power than GMSL2.

GMSL2 Vs. Ethernet camera

 

GMSL2 vs. Ethernet Architecture Comparison: Core Architecture Differences Analysis

GMSL2's architecture is built around point-to-point connections. A GMSL2 camera module must connect directly to the host control system via a serializer and deserializer, limiting system scalability. This direct connection ensures extremely low latency and high reliability. This architecture is ideal for surround view systems in autonomous driving, where each camera has a dedicated data link.

 

In contrast, Ethernet for industrial vision uses a networked multi-point architecture. Multiple cameras can connect to the same host control system via an Ethernet switch. This architecture's selling point is its flexibility and scalability. Engineers can easily add or remove cameras and leverage existing network infrastructure. However, its drawback is that data collisions and latency uncertainty increase as the number of devices in the network increases.

 

How did you choose one? Selection Guide and Decision Considerations

In embedded vision projects, choosing between GMSL2 and Ethernet is a decision that engineers must weigh based on their specific application scenarios. Here are some practical selection guidelines:

 

  1. Real-time requirements: If your application has extremely high latency requirements, such as lane departure warning or pedestrian detection in ADAS systems using GMSL2, the low latency and determinism of GMSL2 are irreplaceable.
  2. Cable length and wiring complexity: In applications with limited cabling space, such as automotive and robotics, the GMSL2 camera's "single-cable" solution can significantly simplify design, reducing cost and weight.
  3. System scalability: If your project requires the flexibility to connect multiple cameras and does not require high real-time performance, such as multi-point monitoring or remote data collection in industrial vision applications using Ethernet, the Ethernet camera's universal network architecture may be a better choice.
  4. Cost and ecosystem: GMSL2 chips are generally more expensive and have a relatively closed ecosystem. Ethernet, on the other hand, offers lower chip and component costs and a vast open-source and standard ecosystem.

 

Summary

GMSL2 cameras and Ethernet cameras, two high-speed transmission technologies, each hold a significant position in the embedded vision field. GMSL2, with its low latency, high reliability, and simple cabling solutions, is an ideal choice for autonomous driving and ADAS. Ethernet, on the other hand, stands out in the industrial and general machine vision fields thanks to its versatility, scalability, and mature ecosystem.

 

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