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Generic
Generic Binocular Structured-Light Depth Camera for ROS
A compact binocular structured-light depth module with native ROS1 and ROS2 SDKs, built to slot into lightweight robots without bulky aluminum housings
$278.69*
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*Price sourced from Amazon.com. Last updated:Jul 22, 2026.Price and availability are subject to change.
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Overview
Key Features
BINOCULAR STRUCTURE LIGHT DEPTH SENSING - Built with advanced 3D binocular structure light technology that calculates precise spatial depth through image matching with a minimal 0.25m blind zone and 2.5m range, this camera module replaces unstable single-lens sensors and limited visual trackers that fail during close-range object tracking, providing robotics engineers and VR developers with reliable real-time depth perception and accurate 3D spatial reconstruction
COMPACT MINIATURE PLASTIC BODY BUILD - Constructed with a lightweight plastic body measuring approx. 2.69 x 1.0 inches (68.3 x 25.25 mm), this miniature depth camera installs smoothly into robotic arms, mobile platforms, and portable hardware without adding heavy bulk or altering balance, completely eliminating bulky aluminum housings that weigh down lightweight drones and small automated machinery during continuous field operations
WIDE FOV HIGH PRECISION TRACKING - Features a broad field of view coupled with high precision spatial data acquisition, enabling real-time obstacle navigation and object mapping across indoor spaces and overcast outdoor environments, replacing narrow-angle sensor modules that miss peripheral obstacles, granting automated guided vehicles and spatial mapping setups clear situational awareness under operating temperatures from 10°C to 40°C
DUAL ROS1 AND ROS2 SYSTEM SUPPORT - Fully compatible with both ROS1 and ROS2 development environments with dedicated SDKs and technical documentation, eliminating driver integration conflicts, tedious setup code, and system crashes common with Generic webcams, allowing software engineers, university researchers, and robotics hobbyists to jump straight into algorithm testing and automated navigation deployment
FAST USB C DATA TRANSMISSION - Equipped with a high-speed USB 3.0 Type C interface that handles fast spatial data transfer and steady power delivery through a single connection cable, this 1 set depth camera package replaces complex multi-wire harnesses and external power supply units, offering an efficient, plug-and-play solution for automated machinery, virtual reality development, and smart hardware integration
Specifications
Brand
Generic
Depth Technology
3D binocular structured light
Depth Range
Up to 2.5m
Blind Zone
0.25m
Dimensions
Approx. 68.3 x 25.25 mm (2.69 x 1.0 in)
Body Material
Plastic
Interface
USB 3.0 Type-C
Power Delivery
Via USB-C data cable
Software Support
ROS1 and ROS2 with SDKs
Operating Temperature
10°C to 40°C
Package
1 Set
Frequently Asked Questions
What depth range and blind zone does this binocular camera provide?
It offers a 2.5m depth range with a minimal 0.25m blind zone, using binocular structured-light image matching to support close-range object tracking where single-lens sensors often struggle.
Does the module work with both ROS1 and ROS2?
Yes. It is fully compatible with both ROS1 and ROS2 environments and ships with dedicated SDKs and technical documentation to reduce driver integration and setup work.
How is the camera connected and powered?
Through a single USB 3.0 Type-C interface that handles both high-speed spatial data transfer and power delivery, removing the need for multi-wire harnesses or a separate external power supply.
Is it small enough to mount on a drone or robotic arm?
Yes. The plastic body measures roughly 68.3 x 25.25 mm and is designed to install into robotic arms, mobile platforms, and portable hardware without adding bulk or altering balance.
What operating temperature range does it support?
It is rated to work between 10°C and 40°C, so it suits indoor and mild overcast outdoor conditions rather than extreme cold or heat.
Who is this depth camera intended for?
It targets robotics engineers, VR developers, university researchers, and hobbyists who need real-time depth perception and 3D spatial reconstruction for navigation and mapping.
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