RealSense Depth Camera D415

Original price was: ₹48,999.00.Current price is: ₹36,999.00.

The Intel® RealSense™ Depth Camera D415 is a high-precision stereo depth camera featuring active stereo technology, 1280 × 720 depth resolution at 90 FPS, a 2 MP Full HD RGB camera, and USB 3.1 Type-C connectivity. Optimized for 3D scanning, robotics, machine vision, and industrial inspection, it delivers highly accurate depth sensing for demanding computer vision applications.

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RealSense Depth Camera D415

Features

  • High-precision stereo depth camera designed for 3D scanning and measurement
  • Active stereo depth technology with rolling shutter image sensors
  • Up to 1280 × 720 depth resolution at 90 FPS
  • Integrated 2 MP RGB camera with 1920 × 1080 resolution at 30 FPS
  • Narrow field of view provides higher depth accuracy per degree
  • Depth accuracy of less than 2% at 2 m
  • Ideal operating range of 0.5 m to 3 m
  • Minimum depth distance of approximately 45 cm at maximum resolution
  • USB 3.1 Gen 1 Type-C interface for high-speed connectivity
  • Compact and lightweight design for easy integration
  • Compatible with Intel® RealSense™ SDK 2.0 (librealsense), Windows, Linux, and ROS
  • Ideal for robotics, facial recognition, 3D scanning, volumetric capture, industrial inspection, and machine vision.

Specifications

Model RealSense™ Depth Camera D415
Product Type Stereo Depth Camera
Depth Technology Active Stereo
Image Sensor Rolling Shutter
Depth Resolution Up to 1280 × 720
Depth Frame Rate Up to 90 FPS
RGB Camera Resolution 1920 × 1080 @ 30 FPS
RGB Sensor 2 MP Rolling Shutter
Depth Accuracy <2% at 2 m
Ideal Operating Range 0.5 m – 3 m
Minimum Depth Distance ~45 cm
Depth Field of View 65° × 40°
RGB Field of View 69° × 42°
IMU No
Interface USB 3.1 Gen 1 Type-C
Dimensions 99 × 20 × 23 mm
Mounting 1/4″-20 UNC Thread, Dual M3 Mounts
SDK Support Intel® RealSense™ SDK 2.0 (librealsense)
Supported OS Windows, Linux, ROS
Applications 3D Scanning, Robotics, Machine Vision, Industrial Inspection, Facial Authentication, Volumetric Capture