Visual functions are central to designing robot applications that sense and adapt to the physical world in real time. Robotic systems operate in dynamic and often unpredictable environments, and sensor data must be collected, transmitted, processed, and translated into action in milliseconds. Any increase in delay, loss of data, or inconsistency in time can degrade performance and even create a security risk.
As robotic systems turn to machine learning based sensing capabilities, which rely on large amounts of visual data rather than task specific programming, these constraints become increasingly demanding. This allows robot applications to adapt to new objects, environments, and tasks with minimal reprogramming.
These trends place increasing pressure on how to transfer visual data in robotic systems. Gigabit Multimedia Serial Link (GMSL) technology facilitates design challenges by simplifying sensor connectivity, reducing wiring complexity, and enabling low-latency, robust data transfer between distributed cameras and central computing modules.
GMSL was originally designed for automotive applications such as Advanced Driver Assistance Systems (ADAS) and is now widely used in robotics and machine vision systems to connect remote cameras and sensors with low latency and robust electromagnetic interference immunity.g.
GMSL, developed by Analog Devices, is a high-speed serial/de-string (SerDes) communication technology that transmits high bandwidth video and data via a single coaxial cable or twisted pair. Each camera does not share a network structure, but operates over a dedicated high-speed link, eliminating contention, routing, and packet-based variability. This creates a predictable data path with consistent time and delay even if the number of sensors increases.
The GMSL serializer converts a set of pixel data that is typically transmitted in parallel over multiple single signal lines into a continuous high-speed serial data stream. At the processor side, the destring converts it back to the original format. Since each camera has its own point-to-point link, the bandwidth is linearly related to the number of cameras, which will not cause network contention, switching overhead or data packet scheduling delay.
The advantages of this approach become more evident when the vision system is extended to multiple high-resolution cameras. Unlike single-camera applications, these systems require dense, synchronized visual coverage to support tasks such as navigation, manipulation, and real-time scene understanding. As the number of sensors increases, bandwidth, wiring, and timing accuracy requirements increase, exposing the limitations of traditional short-range board level interconnections.
Traditional approaches such as USB, standard Ethernet, or direct board level MIPI links inevitably require trade-offs in latency, synchronization, or physical coverage. As more and more cameras are used, the complexity of cabling, timing management, and system design continues to increase, which also presents an increasing challenge to technology integration.
GMSL offers several obvious advantages over other visual connection methods:
It surpasses MIPI CSI-2 in coverage and robustness while maintaining a simple, low-latency, point-to-point architecture that avoids the complexity of an Ethernet-based visual stack.
GMSL favours deterministic point-to-point connectivity and simpler multi-camera synchronization over the flexibility of Ethernet's large scale distributed network.
The performance of this solution is roughly comparable to FPD-Link, another dedicated SerDes solution. The choice often depends on a comprehensive consideration of ecosystems.
GMSL balances embedded and networked vision systems by providing a practical method of high-speed camera connectivity with deterministic, low-latency performance. This simplifies high-speed visual connectivity while maintaining the stringent latency and reliability requirements of real-time robotic systems.
High speed, large capacity
With increasing camera resolution and number of sensors, these structural advantages become the key to system success. GMSL can transmit large amounts of data, especially video data, from multiple cameras or other sensors via a single cable. This scheme uses dedicated point-to-point links with no network contention or packet routing. Designers can use GMSL to transmit high bandwidth data streams via coaxial or twisted-pair cables while maintaining low latency and high noise immunity without using multiple connections per point.
This technology simplifies automotive wiring, improves robustness, and these attributes are directly embodied in robotics: fewer cables simplify electrical and mechanical designs, making systems lighter, more reliable, and easier to assemble.g. Distributed cameras can be installed away from computing modules, with minimal cabling, and still reliably provide synchronized, low-latency data to support real-time sensing and decision making.
Robots increasingly rely on multiple high-resolution cameras, sometimes combined with depth sensors orPLIDAR (light detection and ranging) to sense their surroundings (Figure 1). Each camera generates a large amount of data flow when it is used alone, and when multiple cameras are used at the same time, bandwidth requirements are increased. One 1080p resolution, 30 frames per second (fps), 24-bit per pixel camera generates 1.4 Gbps transmission rate, so four cameras generate 5.6 Gbps transmission rate and six cameras generate 8.4 Gbps transmission rate. The application of higher resolution and frame rate can increase the bandwidth requirement to dozens of gigabits per second.