• WHEELTEC M10P-PHY Industrial LiDAR Indoor/Outdoor Navigation and Obstacle Avoidance Laser Radar for SLAM Robot
  • WHEELTEC M10P-PHY Industrial LiDAR Indoor/Outdoor Navigation and Obstacle Avoidance Laser Radar for SLAM Robot

WHEELTEC M10P-PHY Industrial LiDAR Indoor/Outdoor Navigation and Obstacle Avoidance Laser Radar for SLAM Robot

Availability: In stock, usually dispatched in 1 business day

  • Price:$333.17
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WHEELTEC M10P-PHY Industrial LiDAR Indoor/Outdoor Navigation and Obstacle Avoidance Laser Radar for SLAM Robot

Description:

- The M10P-PHY series industrial LiDAR adopts the Time of Flight (TOF) measurement method, which can perform 360° two-dimensional scanning detection of the surrounding environment. This series of LiDARs uses wireless power supply and optical communication internally, with a measurement repetition rate of 20KHz and a designed detection accuracy of up to 3cm, with a maximum range of 30 meters. The radar adopts an integrated industrial grade RJ45 network port output, without the need for adapter modules, making it more stable and reliable. Suitable for industrial robots, security, industrial automation, smart logistics and other scenarios.

Features:
- Industrial grade network port radar, the radar body outputs data through network port protocol without the need for adapter modules, greatly enhancing reliability and achieving industrial grade standards. Suitable for industrial robots, security, industrial automation, smart logistics and other scenarios.
- 360° omnidirectional laser scanning: Simple design style, 360° unobstructed higher positioning accuracy and better mapping effect.
- Both indoor and outdoor: In the outdoor situation, it has more reliable anti-interference ability. When detecting black and white objects, long-distance objects and strong light direct objects, the ranging performance is more stable.
- The M10P-PHY industrial LiDAR adopts the Time of Flight (TOF) measurement method. When the LiDAR emits laser pulses, it starts timing (t1). When the laser encounters the target object, it returns to the receiving end and stops timing (t2). The formula for calculating the distance between the LiDAR and the target object is: distance = speed of light x (t2 t1)/2.
- Has better glass recognition effect: It also has a higher reflection recognition rate for objects with strong light transmittance, such as glass.
- Fully compatible with ros1 and ros2 systems, providing SDK for 2 systems and providing relevant technical support.
- IP65 Waterproof level: Based on the TOF ranging principle, the traditional belt drive appearance is completely abandoned, and the radar is equipped with a closed independent cover
- Built-in brushless motor: Greatly reduces mechanical friction during operation, ensuring smooth operation with a lifespan of over 20000 hours, which is more than 10 times that of a triangular ranging radar.
- Laser Safety FDA Class1: To ensure the safety of the product for both humans and pets, a low-power infrared laser transmitter is used as the emission light source and driven by modulated pulses. The laser only completes the emission action in a very short time, meeting the FDA Class1 human eye safety level.

Specification:
- Model: M10P-PHY
- Type: short distance
- Scan angle: 360°
- Transmission repetition frequency: 20KHz
- Angle resolution: 0.22°
- Measurement frequency: 20000 times/s
- Scanning frequency: 12Hz
- Output data resolution: 1mm
- Measurement precision: +/-3cm
- Light source: 905nm laser
- Laser level: CLASS I (safe for human eyes)
- Data content: distance, angle
- Input voltage: 9V - 32V
- Protection level: IP65
- Working temperature: -10℃ ~ 50℃
- Working noise:
  Start: < 60dB
  Operating: < 50dB
- Driving method: built-in brushless motor
- Communication interface: Ethernet port
- Impact: 500m/sec2, continuous for 11ms
- Vibration: 5Hz-2000Hz, 3G rms
- Product size: 79.6 x 39mm
- Net weight: about 200g

Package Included:
- 1 x M10P-PHY LiDAR

Note:
- Please contact our customer service to get the related development resources after receiving the product.



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