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YDLIDAR OS30A Depth Camera

  • Product: 1280*920 high-resolution image output YDLIDAR OS30A Depth Camera
  • Depth map with a horizontal FOV of 78°, suitable for robot use
  • Unafraid of ambient light disruption
  • Deep computation processors employ specialised chips with great performance.

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IBOTS1000

Original price was: ₹18,000.00.Current price is: ₹16,200.00.

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  • Pick up from the IBOTS Store

Free

  • Delivery Charges: Tamil Nadu

₹75 for parcels below 1 Kg and ₹100 for parcels weighing between 1 Kg to 2 Kg.

2-3 Days

₹75

  • Delivery Charges: Other South India

₹125 for parcels below 1 Kg and ₹175 for parcels weighing between 1 Kg to 2 Kg.

2-3 Days

₹125

  • Delivery Charges: North India

₹250 for parcels below 1 Kg and ₹325 for parcels weighing between 1 Kg to 2 Kg.

2-3 Days

₹250

  • Courier delivery

Our courier will deliver to the specified address

2-3 Days

Rs. 99

  • Warranty 1 year

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  • Free Returns Policy

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Payment Methods:

1. Order the Product and Specify the Delivery Method

2. You Will Receive an Order Confirmation Message

3. Wait for Your Order to Arrive

4. Pick up Your Order at The Checkout Area

Description

The OS30A 3D camera module realises the function of depth information modelling by obtaining depth images through the application of binocular structured light 3D imaging technology. Furthermore, it has a depth computation chip specifically designed for robot obstacle avoidance.
The camera offers users a significant degree of freedom due to its small size, ease of integration, and type C standard output interface. It has a wide range of applications and can be adjusted to complex settings such complete darkness, strong and weak light indoors, backlight and smooth light, and semi-outdoor.

Qualities:

  • High-resolution image production of 1280*920
  • Depth map with a horizontal FOV of 78° that satisfies robot requirements
  • Unafraid of ambient light disruption
  • Deep computation processors employ specialised chips with great performance.
  • USB 2.0 standard output interface

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