Compact integration budget
Plan around an 8 g module, 5 V supply and 1.2 W typical power consumption while accounting for the complete enclosure and cable path.
MRP-LD1 · Solid-State dToF Module
MRP-LD1 Drone LiDAR Sensor for Embedded Obstacle Sensing
Bring compact depth perception to UAV, robotics and embedded systems with an 8 g, 1.2 W solid-state dToF LiDAR module. MRP-LD1 delivers depth images and 3D point-cloud data for host-side perception and controlled application evaluation.
0.5–25mIndoor ranging
0.2–8mOutdoor ranging
60° × 45°Field of view
8 gModule weight
- 40 × 30 depth output at 10 fps
- 80 Klux ambient-light resistance
- UART / UVC / UDP interfaces
- 5 V supply · 1.2 W typical power
For UAV, AMR, robotics and embedded-perception teams · OEM/ODM inquiries supported.
Product advantages
Why engineering teams evaluate MRP-LD1.
The module combines compact hardware, defined ranging baselines and multiple host interfaces. Use these verified facts to screen product fit before committing integration time.
Indoor and outdoor baselines
Start evaluation from 0.5–25 m indoors and 0.2–8 m outdoors, with 80 Klux ambient-light resistance documented for comparison.
Depth, not only a distance point
Receive 40 × 30 depth output at 10 fps and work with depth images or 3D point-cloud data in the host perception stack.
Multiple host paths
Evaluate UART, UVC or UDP with software support listed for Windows, ARM, Linux and Android environments.
Product Video
See the sensing workflow before integration.
Review the application video, then use the approved specifications and sample data to decide whether this drone LiDAR sensor fits the intended platform and operating scene.
Approved Document Data
MRP-LD1 technical specifications.
Use the exact document-listed values below for initial screening. Indoor and outdoor ranging are separated because usable performance still depends on target, light, mounting and system timing.
Ranging Principle
dTOF(Direct Time-0f-Flight)
Scanning Principle
SPAD(Single-Photon Avalanche Diode)
Wavelength
940nm VCSEL
Laser Safety Class
Class 1(FDA Recognized Eye-Safe)
Ranging Capability
Indoor:0.5-25m/Outdoor:0.2-8m
Ambient Light Resistance
80Klux
Ranging Accuracy
0.2-1m≤±3cm;1-5m≤±5cm;5-8m≤±10cm;8-15m≤±20cm
Field of View(FOV)
60°(H)×45°(V)
Resolution
40×30
Frame Rate
10fps
Interface
UART/UVC/UDP
Operating Temperature
-20～60℃
Storage Temperature
-30～70℃
Power Supply
5V
Software Support
Windows/ARM/Linux/Android
Power Consumption
1.2W
Weight
8g
Applications
- Robot Navigation &Obstacle Avoidance
- UAV Obstacle Avoidance &Altitude Hold
- ARVR&Auxiliary Focusing
- Industrial Inspection &Security
Need the manual, SDK or interface notes?Tell us your host platform and preferred data path so the request reaches the right technical context.
Depth and point-cloud output
Evaluate the data your host system will receive.
MRP-LD1 supplies real-time depth images and 3D point-cloud data. Review representative output before development, then verify units, coordinates, timing and invalid-data handling with the selected interface and SDK workflow.
Request scene-matched sample data
Range and ambient-light baseline
Use documented range as the start of validation.
The approved baseline is 0.5–25 m indoors and 0.2–8 m outdoors, with 80 Klux ambient-light resistance. Actual usable range depends on target reflectivity, size, angle, sunlight, mounting and motion, so qualify the module in the intended scene.
SPAD dToF Technology
Solid-state depth sensing for embedded perception.
MRP-LD1 combines a 940 nm VCSEL source with SPAD direct time-of-flight sensing. It is a depth-data module—not a complete avoidance system—so detection logic, planning, control response and application safety remain responsibilities of the host platform.
Approved application groups
Evaluate the module around a defined sensing task.
MRP-LD1 can be evaluated as a UAV obstacle-avoidance sensor input and across robotics, AR/VR, industrial inspection and security workflows. Final suitability depends on the installed system and acceptance criteria.
UAV sensing
Evaluate forward obstacle awareness, altitude-hold input and terrain-following workflows with a defined 60° × 45° sensing sector.
Robot navigation
Supply depth and point-cloud data to host-side obstacle-awareness, navigation and SLAM evaluation workflows.
AR/VR focusing
Evaluate compact dToF depth input for auxiliary focusing and presence-aware embedded experiences.
Industrial and security
Use measured depth data as an input for inspection and security applications after scene-specific validation.
Interfaces and software
Choose the host data path before prototyping.
Match UART, UVC or UDP to the processor, logging method and timing budget. Software support is listed for Windows, ARM, Linux and Android.
UARTPlan embedded communication, message framing and host timing.Request interface notes
UVCEvaluate a vision-style depth-image path on the selected host.Request SDK
UDPValidate network transport, timing, packet handling and replay.Open documentation
Depth dataReview depth and point-cloud samples before committing host development.Request sample data
B2B evaluation path
Move from product fit to a qualified sample decision.
Keep the buying process technical and measurable. Each step should answer a project question before the next commitment.
Share the operating scene
Tell us the platform, target, working distance, light level, host, interface and expected quantity.
Review evidence
Compare the approved specifications, manual, SDK path and representative depth or point-cloud data.
Run a controlled evaluation
Verify power, interface, mounting, target response and end-to-end timing on the intended host system.
Plan the next build stage
Align customization, sample feedback, pilot quantity, delivery timing and commercial requirements.
Evaluation confidence
Review production context and approved buyer feedback.
Use these materials as an initial supplier-screening reference, then request the project-specific records and acceptance information required by your team.
Manufacturing
Production and inspection context
Feedback
Buyer feedback in approved materials
Delivery
Product Packaging & Shipping
Product Packaging
Shipping
Engineering and supply support
Work with Purpleriver from evaluation to delivery.
Purpleriver develops solid-state dToF technologies for embedded sensing projects. B2B teams can request samples, product documents, SDK resources, matched data and project-specific commercial discussion.
OEM / ODMCustomization inquiries supported1 yearDocument-listed warrantySample to pilotEvaluation and quantity planning
Technical and purchasing questions
FAQ
Review product boundaries, evaluation inputs, customization, payment, shipping and warranty before requesting a sample or quote.
Is MRP-LD1 a complete drone obstacle-avoidance system?
No. MRP-LD1 supplies depth images and 3D point-cloud data. The host processor, perception logic, planning, flight controller and validated response remain part of the complete system.
What range should we use for an initial evaluation?
The approved baselines are 0.5–25 m indoors and 0.2–8 m outdoors. Actual usable range depends on the target, ambient light, angle, mounting and motion, so the intended scene must be tested.
What data and host interfaces does MRP-LD1 provide?
MRP-LD1 provides depth images and 3D point-cloud data. The documented interfaces are UART, UVC and UDP, with software support listed for Windows, ARM, Linux and Android.
What information should we send when requesting a sample or quote?
Share the target platform, application, working distance, indoor or outdoor scene, host system, preferred interface, sample quantity and expected project timing.
Can you help us design or modify the products as our requests?
Yes, customized service and OEM/ODM are welcomed.
What are the terms of Payments?
T/T, (in advance), Western Union, Paypal and Cash.
What is your shipping way?
You can choose By sea (boat), By air (airplane), By Express (DHL, UPS, EMS, FEDEX, SF, TNT, etc.). Given your detail address, we can offer the estimate shipping cost for your reference.
How about warranty?
One year warranty.
Product evaluation
Tell us what your system needs to detect.
Include the platform, target, distance, lighting, host interface, quantity and project timing.