oToBrite Releases GMSL2 Repeater for Extended Camera Link

oToBrite has launched the GMSL2 Repeater, an inline hardware solution designed to extend camera-to-SoC transmission distances up to 30 meters for heavy machinery and unmanned vehicles.

Signal Regeneration and Transmission
The device is engineered to install inline between the camera and the host compute unit to support external vision points like trailer-rear, boom-arm, or harvesting-head cameras. Rather than relying on analog signal boosting, the repeater fully recovers the incoming GMSL2 signal and retransmits a clean copy across a second link. This mechanism doubles the standard 15-meter GMSL2 connection range without requiring modifications to the camera architecture or the compute unit's physical location. The transmission process operates at a data rate of 6Gbps and introduces less than 1 microsecond of latency.

Hardware Specifications and Power
The repeater features one GMSL2 input and one GMSL2 output, both utilizing FAKRA Type Z connectors. It draws power directly over the same coaxial cable as the camera, eliminating the need for an independent power supply. The module consumes a maximum of 1.3 watts, excluding the power drawn by the connected camera. Measuring 34.6 by 36 by 19 millimeters, the compact body is intended for permanent external installation on large platforms such as agricultural equipment, mining machinery, and long-haul trucks.

Environmental Specifications and Integration
To withstand harsh outdoor conditions, the device carries an IP69K rating—provided the FAKRA connector is mated to a correspondingly rated cable connector—ensuring it can endure high-pressure washdowns. The operational temperature range spans from -40 to 85 degrees Celsius. When integrated alongside the manufacturer's existing portfolio of 1 to 8-megapixel GMSL2 cameras and NVIDIA Jetson adapter kits, the repeater allows system builders to centralize their component sourcing for extended vision chains on autonomous mobile robots and unmanned ground vehicles.

Edited by Lekshman Ramdas, Induportals editor – adapted by AI.

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