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S Series Lidar-Vision Fusion for All-Terrain Robotics

Meet the MRDVS S series-cameras deliver long-range, high-precision dToF perception with integrated vision-lidar sensing, enabling reliable mapping, navigation, and obstacle avoidance across outdoor, indoor, and all-terrain robotic applications.

MIPI icon

MIPI Interface Available

FOV 120° × 80°

Obstacle Avoidance

Ethernet/GMSL/IO

S10

190g Lightweight body
I/O communication
240 x 160 resolution
dTof camera
I/O Communication
240 x 160 resolution
S10
S10 Ultra

45m

Maximum working distance

RGB-D

Image fusion

240*160

Depth resolution

Multi-environment Indoor & Outdoor Robotic Solution

It overcomes multipath interference, handles diverse surfaces (reflective to matte), resists intense light (direct sun included), and offers extensive coverage with virtually no blind spots, complemented by quiet, dust-resistant operation.

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Robot Vacuum

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Drone

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AGV

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Commercial Cleaning Robot

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Inspection Robot

Robotic Lawn Mower

Robotic Lawn Mower

Difference between Models

ModelS10 Ultra (Pre-order)S10
Illumination940 nm940 nm
OutputDepth/RGB/IR amplitude mapsDepth/RGB/IR amplitude maps
Depth Resolution (H × V)240 × 160 px240 × 160 px
Depth Frame RateMax. 10 fps, typically 10 fpsMax. 20 fps, typically 15 fps
Depth FoV (H × V)120° × 80°120° × 80°
RGB Resolution (H × V)1280 × 1080 px1632 × 1224 px
RGB Frame RateMax. 10 fps, typical 10 fpsMax. 20 fps, typical 15 fps
RGB FoV (H × V)120° × 80°120° × 90°
RGB Shutter TypeRolling ShutterRolling Shutter
Working Range0.2~45m (90% reflectivity) 0.2~30m (10% reflectivity)0.3~8m (90% reflectivity) 0.3~3m (10% reflectivity)
Accuracy≤4 cm≤3 cm
Power Consumption<9 W≤4 W
Dimensions (L × W × H)95 mm × 68 mm × 42 mm80 mm × 37 mm × 25 mm
Weight 407 g190 g
Power Supply12~27V12V~28V
Data CommunicationEthernetEthernet/GMSL/IO
Enclosure RatingIP67IP54
Operating Temperature-20 °C ~ 75 °C-20 °C ~ 60 °C
Storage Temperature-40 °C ~ 85 °C-40 °C ~ 85 °C
Programming / SDKC / C++ / ROS SDKC / C++ /ROS SDK
Operating SystemWindows 7/8/10/11, Linux, Arm Linux/ROSWindows 7/8/10/11, Linux, Arm Linux/ROS

 

Technology Comparison

dToF vs. iToF

WechatIMG1247

dToF principle

dToF directly measures the time interval between the emission and reception of a light pulse, and uses the flight time of light to directly calculate the distance of an object. Light pulses are emitted and received in a very short time (usually nanoseconds), and the time difference of the pulses is measured to obtain the distance.

WechatIMG1248

iToF principle

iToF measures distance by comparing the phase shift between emitted and reflected modulated light. The sensor emits continuously modulated light, and when the reflected wave returns, its phase delay relative to the original signal is measured. This phase difference is then converted into distance, enabling high-resolution, high-precision depth sensing at short to medium ranges.

S Series Highlights

3d obstacle avoidance

Deployable Obstacle Avoidance Algorithm

Meticulously developed algorithms for obstacle avoidance in navigation robot applications are designed to seamlessly adapt to various AGV installation points, including on or atop the AGV. These algorithms effectively navigate obstacle detection sensors from elevated positions. Through the fusion of RGB-D camera and depth data, the system enables semantic understanding, allowing for the intelligent identification of specific categories like people or goods. MRDVS’s robust collision avoidance solution is readily available to robotics cam users, and can be tried out in just minutes.

User-Defined Obstacle Avoidance Parameters for AMR

Users have the flexibility to define obstacle avoidance settings for the Autonomous Mobile Robot(AMR), allowing dynamic adjustments in different zones. Dynamic sensing include warning, alarm, and shielding distances, as well as left and right detection zones and height ranges. This user-driven adaptability ensures the AMR’s responsive and efficient obstacle avoidance system during motion.

Product Archive S Series
Product Archive S Series

Ethernet & I/O Integration for Data Transmission

Through the Ethernet communication interface, depth data, RGB data, and amplitude map data can be transmitted. The S series also facilitates I/O communication for easy obstacle status output using distinct values of 0, 1, 2. (Value 0 indicates normal, no obstacles; Value 1 indicates obstacle detection in the warning zone; Value 2 indicates obstacle detection in the alarm zone.)

Multi-camera Interference Avoidance

The S series robotic camera system ensures synchronized operation of multiple cameras within the same application, irrespective of their network positions. Multi-camera systems might be essential for capturing expansive objects, entire scenes, or dynamic subjects like AGVs in a warehouse setting.

Product Archive S Series
Product Archive S Series

Robust Light Variability

The S series ToF camera operates effortlessly with 940 nm wavelength illumination, utilizing its emitted light for precise distance measurement outdoors, even under sunlight. Its excellence extends beyond daylight, performing effectively in darkness as well. This is achieved through its active depth camera employing the pulse indirect Time-of-Flight (ToF) principle.

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.

Ready-in-Use Solution

3D Obstacle Avoidance

MRDVS enhances robot navigation with advanced obstacle avoidance using RGB-D ToF camera S series.

More about The S Series

All S Series Models

S10

S10 feature a depth resolution of 240 × 160, capturing depth and texture information in real-time to provide stable long-distance perception for low-speed unmanned vehicles, unmanned forklifts, drones, lawn mowers, and other devices. 

S10 Ultra is based on d-ToF technology, which can provide high-performance depth data of 0.2m-45m indoors and outdoors. The camera realizes the alignment function of RGB image and depth image in space and time.

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