dToF LiDAR Module Supplier: Build a Quote-Ready Evidence Pack
A dToF LiDAR module supplier should be evaluated with more than a brochure and a nominal range. If you are choosing a compact module for a UAV, robot, or inspection prototype, ask every candidate to answer the same configuration, output, environmental, and support questions before you compare quotes. That keeps an apparently inexpensive module from becoming an integration delay.
Quick answer
Start with the operating window, field of view, frame output, host interface, and the test conditions behind each claimed result. Request a sample-data capture and an interface document before requesting a final quote. Then score the supplier on evidence completeness—not on a single headline specification.
The dToF LiDAR module supplier evidence decision chart
Use the intended deployment as the filter. A range number without target material, illumination, output mode, and host constraints cannot tell an engineering team whether the module is suitable. Time-of-flight designs involve optical, pixel, noise, ambient-light, field-of-view, and output-format trade-offs; ask the supplier to make the applicable test setup explicit rather than inferring it from a headline claim.
| Decision area | Evidence to request | Why it changes a quote comparison |
|---|---|---|
| Measurement window | Near/far limits, target type, ambient condition, and acceptance method | It connects a stated range to your real scene instead of a generic distance claim. |
| Coverage | Horizontal/vertical field of view, mounting assumptions, and a scene sketch | It reveals blind areas and whether one module can cover the intended zone. |
| Output and timing | Depth/point-cloud format, resolution, frame rate, confidence or validity information, and sample capture | It determines the parser, bandwidth, storage, and downstream acceptance work. |
| Host connection | Protocol version, electrical and cable requirements, SDK or parser examples, and supported host OS | It separates a demonstrable integration route from an assumed one. |
| Change control | Module revision, firmware version, document revision, and support contact path | It makes sample-to-production comparisons traceable. |
What to request before comparing quotes
Send the same concise evidence request to each candidate supplier. Ask for the product page or datasheet, the exact firmware and protocol version used for the sample, power and connector requirements, the available output modes, and a raw capture from a scene that resembles your use case. For a flight-controller or robotics host, also ask which data path the host will consume and who owns the conversion from sensor data to that path.
For engineering context, ST’s current ToF overview describes direct-ToF systems as integrated emitter, receiver, and processor arrangements and identifies robotics and drone sensing applications. Texas Instruments’ ToF system-design guide maps the practical topics that deserve evidence—ambient effects, noise, field of view, illumination, output format, and first-prototype trade-offs. These references are technical context, not a substitute for a supplier’s module-specific test evidence.
Exact module-data example: MRP-LD1
Purpleriver’s Featured MRP-LD1 Drone LiDAR Sensor is a useful example of how to turn listed facts into a requestable acceptance pack. It is described as a SPAD dToF solid-state module with UART, UVC, and UDP interfaces. The figures below are product-source facts; validate the application-specific setup with a sample before release.
| Listed parameter | MRP-LD1 value | Question for the supplier |
|---|---|---|
| Ranging capability | 0.5–25 m indoors; 0.2–8 m outdoors | What targets, ambient light, and acceptance procedure apply to our scene? |
| Field of view | 60° (H) × 45° (V) | Where should the module be mounted to cover the required zone? |
| Depth output | 40 × 30; 10 fps | Which output mode and payload definition will our host receive? |
| Interfaces | UART, UVC, UDP | Which interface, protocol document, and parser example fit our host? |
| Power and mass | 5 V; 1.2 W; 8 g | What wiring, grounding, connector, and payload constraints apply in our build? |
| Optical architecture | SPAD dToF; 940 nm VCSEL | Which environmental checks should be repeated with our targets and enclosure? |
A realistic first-week evaluation case
Scenario: A small UAV integrator needs a downward-facing depth input for a controlled indoor altitude-hold prototype. The team does not treat a supplier’s range figure as flight approval. Instead, it creates a bench and tethered test plan: define the mounting height, place matte and reflective floor targets in the intended footprint, capture raw output at fixed distances, record host timestamps, and note invalid or missing frames.
The buyer requests the same capture instructions and interface evidence from each supplier. A candidate progresses only when its test evidence, output parsing, cable/power setup, and revision information are clear enough for the host team to repeat the capture. This produces a defensible quote comparison without claiming an unverified flight result.
Interface, data, and integration checks
Do not let “supported interface” end the conversation. Confirm which interface is available on the evaluation unit, baud rate or network settings where applicable, packet framing, byte order, payload length, coordinate convention, confidence handling, and error behavior. Keep a raw capture with its firmware and parser revision. Purpleriver’s documentation hub and sample datasets page are sensible starting points for a request package.
If a flight stack is part of the plan, review its own sensor requirements rather than assuming that a physical connector makes the data usable. The official ArduPilot rangefinder documentation and PX4 rangefinder documentation show why the host-side driver, parameterization, orientation, and message path must be included in the integration conversation.
For background before the supplier call, see Purpleriver’s guides to choosing UART, UVC, or UDP, diagnosing LiDAR integration issues, and requesting an evaluation sample.
Common buying mistakes
- Comparing distance claims without the target, illumination, mounting, and acceptance conditions.
- Assuming an SDK name proves that your selected operating system or host interface is covered.
- Accepting a visual demo instead of requesting a raw capture and a documented parser path.
- Mixing a supplier’s module facts with unverified application performance claims.
- Forgetting to record the hardware, firmware, and document revisions used in the sample evaluation.
RFQ and evaluation checklist
- State the actual sensing task, installation envelope, target materials, and operating environment.
- Request module revision, firmware revision, and the matching data-interface document.
- Ask for exact output mode, payload definition, sample capture, and parsing guidance.
- Document power, cable, grounding, connector, and host-side constraints.
- Define a short repeatable test with pass/fail evidence before comparing final quotes.
- Keep the supplier’s answers, raw data, parser revision, and test notes with the procurement record.
Request an evaluation-ready MRP-LD1 package
Send Purpleriver your target scene, mounting constraints, host platform, preferred interface, and the evidence you need to compare candidates. We can start from the listed MRP-LD1 product facts and discuss the documentation and evaluation information relevant to your project.
