Description
 

FASELASE TOF 20m Lidar Sensor Laser Obstacle Avoidance Navigation Industrial Grade for AGV Robot

Description:

The F series lidar is a new compact, affordable 2D lidar with FsaeLase laser radar. The main features of the products are fast measurement, small size, light weight, small power consumption, low cost. It is mainly used in industrial/commercial robot obstacle avoidance and navigation, screen interaction, safety gate, human flow detection and other fields.

Specification:
Measuring distance: 0.05~20m
Angle resolution: 0.18°-0.45° adjustable
Scanning speed: 15Hz
Output interface: USB, Ethernet
Power supply: DC 9V-36V
Scanning area: 280°
Measuring accuracy: ±3cm
Distance resolution: 1cm
Light Source: laser diode 905nm, ≤1mW; meets GB7247.1-2001; Class I laser human eye safety requirements
Dimensions: 62 x 62 x 82 mm
Operating temperature: -10℃~+50℃
storage temperature: -20℃~+70℃
Protection level: IP65
Weight: 210g

Package List:
1 x Lidar Obstacle Avoidance Navigation


Payment Terms
 
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3.Payment must be received within 7 business days of auction closing.
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Shipping Terms
 
- For remote regions, we will charge your extra shipping costs. Usually it cost about 35USD-50USD. We will contact you after your payment. Thanks for your understanding.
Return Terms
 
1. If you receive defective item, please kindly notify us within 14 days. We will guide you the returning instruction for replacement or refund.
2. If you purchased in improper condition, please NOTE that the sipping and handling fee will not be refund, all return shipping fee should paid by the buyer unless item DOA.
3. We reserve the right to refuse any returns for objective reasons.
Custom Duties & Taxes
 
1. Import duties, taxes, and charges are not included in the item price or postage cost. These charges are the buyer's responsibility.
2. Avoiding some unnecessary trouble, please check with your country's customs office to inform us what we should declare its value before shipping.
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On Aug-20-20 at 20:01:17 PDT, seller added the following information:

DataCaciques