Structured Light Industrial Camera

State-of-the-Art RGB-D Structured Light Industrial Camera

Input the Distance from the camera to the object

You Will Get the Coverage Area

Model	H3310
Working Principle	Binocular Encoded Structured Light Technology
Output	Depth & RGB & Amplitude Map
Depth Resolution (H x V)	1280*1024
RGB Resolution (H x V)	1920×1080
Data Capture Time	Approximately 0.8s
Output	Depth & RGB & Amplitude Map
Working Range	300mm~600mm
FoV (H x V)	55° x 45°
Accuracy	±0.1mm at 350mm
Power Consumption	8W @ 24VDC
Dimension (L x W x H)	124mm×70mm×53mm
Weight(g)	400g
Power Supply	12-24VDC / 2A
Data Communication	Gigabit Ethernet
Enclosure rating	IP55
Operating Temperature	0℃ to 50℃
Storage Temperature	-20℃ to 60℃
Programming Language	C / C++
Third Party Support	ROS / ROS2
Cooling Method	Passive Cooling
Eye Safety	Class 3R
Sunlight Interference Resistance	30Klux
Operating System	ARM Linux(AArch64) Linux(x86_64) Windows 7/8/10/11

Highlights

Seamless Integration, Unleashed Power

The HS3310 boasts a computing power of up to 6.0 TOPS, enabling high-performance operations without the need for an external CPU.

High-Precision 3D Data

The camera achieves unparalleled accuracy through the use of 3D structured-light technology combined with advanced AI algorithms, providing precise 3D imaging for various applications.

Compact Design, Open Interface

With a weight of only 400 grams, the HS3310 features a compact design that doesn’t compromise on quality. It comes with an open interface, ensuring effortless integration into existing systems.

A Glance at MRDVS LxCamera SDK

Easy 3D Controls

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START DEVELOPING WITH MRDVS LxCamera SDK

LxCamera SDK is a C/C++ software development package. Compatible with Windows, Linux, and ARM-Linux ROS operating systems, LxCamera SDK provides developers with a variety of user-friendly APIs and straightforward example programs.

More Use Cases

MRDVS’s M series ToF cameras are widely deployed in industrial and robotics settings, offering crucial depth sensing capabilities. They facilitate machine vision for robots, enhance object recognition, optimize navigation, and contribute to intrusion detection.

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