DTOF Solid state LiDAR HM-LD1 – DTOF SSL
- DTOF Solid state LiDAR adopting Direct ToF technology with high sensitivity SPAD detection
- Sub-nanosecond light pulse.
- indoor:0.2m – 25m obstacle sensing(outdoor 0.2m-8m).
- 940nm VCSEL Class 1 Eye Safety with 60°(H) x45°(V) FOV.
$90.00 Original price was: $90.00.$79.99Current price is: $79.99.
DIMENSIONS
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Dimension |
43.5mm*30mm*26.5mm |
|
Ranging Capability |
Indoor: 0.5-25m; Outdoor: 0.2-8m |
|
Ranging Accuracy |
±3cm |
|
FOV |
60°(H) x45°(V) |
|
Weight |
8g |
PRODUCT DETAILS
|
Resolution |
40*30 |
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Frame Rate |
10fps |
|
Interface |
UART/UDP/UVC |
|
Operating Temperature |
-20 ℃ - 60 ℃ |
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Power Consumption |
1.2 W |
Point Cloud & Depth Map
An example of ranging measurement data displayed as point cloud and depth data
Long Measurement Range
Its ranging measurement is highly accurate; even from a long distances of 8 meters on a clear summer day (assuming 80,000 lux). This measurement accuracy, from a distance even outdoors, makes it very useful to measure distances to objects that are difficult for people to approach, such as bridges, expressways, and dams.
Compact And Lightweight
With 8 g in weight, this compact housing makes it easy to integrate into various devices, such as autonomous mobile robots with limited space for depth sensors, and drones where weight affects the flight distance.
Advanced 3D Sensing with Robust Environmental Adaptability
HM-LD1 is a solid-state LiDAR module based on SPAD dToF technology, delivering real-time depth images and 3D point cloud data for accurate environmental perception. It supports 0–25m ranging in indoor or nighttime conditions and 0–8m in outdoor daytime environments, making it suitable for obstacle avoidance, distance detection, autonomous navigation, smart inspection, and robotic vision development. With UVC, UDP, and UART interfaces, HM-LD1 can be easily integrated with PCs, Raspberry Pi, flight controllers, and embedded platforms for both prototyping and system deployment.
Multi-Scenario dToF LiDAR Applications
This dToF LiDAR module supports multiple applications for drones, robots, cameras, and security systems. It enables UAV altitude hold and terrain following, assists robot navigation, obstacle avoidance, and SLAM, while also supporting autofocus, user presence detection, object recognition, volume measurement, and zone intrusion monitoring.
Supports all kinds of development platforms
MRP offers SDKs for x86 Windows, x86 Linux, and arm Linux, enabling development and integration across diverse operating systems and architectures.
Why choose us
We specialize in perception and positioning modules for robots and UAVs, and are a world-leading supplier of navigation devices and solutions.
Independent Research and Development Team
We have a professional independent R&D team, focusing on innovation of perception and positioning technology
technical support services
Provide professional technical support for product integration and application
Direct manufacturing from the source factory
Manufactured by the original factory, with in-house production for stable supply
Customized products on demand
We customize products on demand and provide one-stop technical support
Self-manufactured with steady supply guaranteed
In-house production for stable supply, supporting customized OEM/ODM needs
Core Strengths in Advanced Sensing Technology
Our core strengths lie in deep technical expertise across semiconductor devices, optical modules, and embedded algorithms. With strong capabilities in calibration, performance optimization, and eye-safety control, we deliver accurate and reliable sensor solutions. Through in-house R&D, firmware development, testing, and production, we ensure fast iteration, consistent quality, and dependable product performance.
Customer Reviews
FAQ
1. Q: What ranging technology does HM-LD1 use?
A: HM-LD1 is based on direct Time-of-Flight (dToF) technology using a hybrid stacked SPAD (Single-Photon Avalanche Diode) sensor combined with a 940nm VCSEL emitter. This architecture enables precise time measurement of photon return, allowing accurate depth estimation and 3D perception.
2. Q: Is HM-LD1 considered a LiDAR sensor?
A: Yes. HM-LD1 is a solid-state LiDAR module that performs depth sensing without mechanical scanning. Unlike traditional rotating LiDAR systems, it uses an area-array architecture to directly output depth data and point cloud information.
3. Q: What is the effective ranging performance?
A: The module provides indoor range of 0.2 m – 25 m and outdoor range of 0.2 m – 8 m. Actual performance may vary depending on target reflectivity, ambient light, and environmental conditions.
4. Q: What level of accuracy can be expected?
A: HM-LD1 achieves a typical ranging accuracy of ±3 cm under standard operating conditions. Accuracy depends on factors such as surface properties, distance, and lighting environment.
5. Q: How does HM-LD1 perform under strong ambient light?
A: The sensor supports ambient light resistance up to 80 KLux, allowing stable operation in bright indoor and outdoor environments. However, extreme lighting conditions may still affect signal quality.
6. Q: What type of output data does the module provide?
A: HM-LD1 outputs depth data per pixel, point cloud visualization, and grayscale or intensity information depending on the interface mode. With a resolution of 40 × 30 and frame rate of 10 fps, it is suitable for real-time perception tasks.
7. Q: What interfaces and platforms are supported?
A: The module supports UART interface with communication protocols including UART, UDP, and UVC. It is compatible with Windows, Linux·, ARM, and Android platforms, making it suitable for embedded systems, UAVs, and robotics.
8. Q: What are the power and physical characteristics?
A: The module operates at 5V with approximately 1.2W power consumption and weighs around 5g, making it ideal for lightweight and power-constrained applications such as drones and mobile robots.
Applications
Robotic Dog
Education Research
Drone
Robot
| Weight | 0.028 kg |
|---|---|
| Interface |
UART ,UDP ,UVC |
Contact us
TEL: +8618926195421
Huangmei Road, Huangge Town, Nansha District, Guangzhou City, Guangdong Province, China
Email:[email protected]

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