Benewake TFA300-L Präziser LiDAR-Sensor (300 m) für UAVs und Automatisierung bodenfeuchtigkeit Ideal for human detection 110-MB1260-000

Benewake TFA300-L Präziser LiDAR-Sensor (300 m) für UAVs und Automatisierung bodenfeuchtigkeit Ideal for human detection 110-MB1260-000

Name: Benewake TFA300-L Präziser LiDAR-Sensor (300 m) für UAVs und Automatisierung bodenfeuchtigkeit Ideal for human detection 110-MB1260-000
Brand: webproci.fr
SKU: 7543967906
Price: 174.50 USD
Availability: InStock
Rating: 4.2889 (13 reviews)

SKU 7543967906 · ★ 4.3

EUR174.50EUR217.50

Pay in 4 interest-free payments of $43.62 Learn more

Shipping Estimate
USA

USA

CAN

Ships within 48 hours · Estimated delivery Nov 2 - Nov 7

Yard notes

Description

Benewake TFA300 L Präziser LiDAR Sensor (300 m) für UAVs und Automatisierung bodenfeuchtigkeit Ideal for human detection 110 MB1260 000 Ideal for human detection können Sie das Gehäuse einfach öffnen und sie durch 2 handelsübliche AAA Batterien ersetzen Documents: The Benewake TFA300 L is a high precision LiDAR sensor with a range of 300 meters

Exchange/Return Notes

We offer a 30-day return/exchange service after receiving.
Final sale items are not eligible for returns or exchanges.
To process your return/exchange, please contact us at [email protected]
Please click here for more details>>> Return & Exchange Policy

Frequently Asked Questions for Benewake TFA300-L Präziser LiDAR-Sensor (300 m) für UAVs und Automatisierung bodenfeuchtigkeit Ideal for human detection 110-MB1260-000

What should I do when a product description uses unfamiliar terms?

Ask the seller to explain what the term means for this particular offer. Compare the explained function with what you actually need.

What should I check when an offer emphasizes limited time or limited quantity?

Distinguish a product-availability message from a promotion-expiry message. Confirm essential product information before allowing urgency to determine the decision.

What should I check when product images are described as illustrative?

Consider whether the image shows an example outcome rather than contents. Compare alternatives using documented information rather than image style alone.