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ZED 2 Depth Camera

Stereolabs | A-000000-04677

Stereolabs has released a new ZED 2 depth camera, a stereoscopic camera designed for tracking vehicles and people with a very wide field of view.

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ZED 2: a new stereo vision technology

The ZED 2 camera offers greater depth detection with a 120° wide-angle field of view. The aim here is to combine depth-of-field detection (up to 20 m) with object detection, in particular human beings in movement.

The stereoscopic camera uses two high-resolution sensors to detect vehicles and objects. It can therefore combine different view points, with the help of an IMU and efficient motion sensors, to perform multiple operations:

  • Simultaneous localisation and mapping
  • Floor plane detection
  • Skeleton tracking
Examples of how to use the ZED 2 Stereolabs depth camera in robotics

The camera can be managed remotely using a dedicated cloud platform to control streaming, collection and analysis of 3D data and to run applications.


An assistant for maintaining social distancing

The ZED 2 camera sets itself apart by allowing you to simply run a robot vision application for the purposes of social distancing.

Examples of how to use the ZED 2 Stereolabs depth camera in robotics

The camera can track individuals to measure the distances between different people in a given place. You can then program a loudspeaker to be triggered to remind people of the health regulations.

Technical specifications of the ZED 2 camera

Video output:

  • 2.2K mode: 15 fps; resolution 4416 x 1242
  • 1080p mode: 30/15 fps; resolution 3840 x 1080
  • 720p mode: 60/30/15 fps; resolution 2560 x 720 (stereo passthrough mode)
  • WVGA mode: 100/60/30/15 fps; resolution 1344 x 376
  • Video recording: native resolution video encoding in H.264, H.265, lossless format (on host)
  • Video streaming: IP (with ZED SDK)
  • ISP: new ISP tuned with machine learning for AI and vision tasks

Depth:

  • Resolution: native video (in ultra mode)
  • FPS: up to 100 Hz
  • Depth range: 20 cm to 20 m
  • Field of view: 110° horizontal, 70° vertical, 120° diagonal max.
  • Technology: neural stereo depth sensing

Motion:

  • Motion sensors: accelerometer, gyroscope (data rate: 400 Hz)
  • Pose update rate: up to 100 Hz
  • Position sensors: barometer, magnetometer (data rate: 25/50 Hz)
  • Technology: 6-DoF visual-inertial stereo simultaneous localisation and mapping (SLAM) with advanced sensor fusion and thermal compensation
  • Pose drift: 0.35% translation, 0.005°/m rotation (without loop correction)

Lens:

  • Lens type: wide-angle 8-element all-glass dual lens with optically corrected distortion
  • Aperture: f/1.8

Image sensors:

  • Resolution: dual 4M pixel sensors with 2-micron pixels
  • Sensor format: native 16:9 for a larger horizontal field of view
  • Sensor size: 1/3” BSI (backside illumination) sensor with high low-light sensitivity
  • Shutter with electronically synchronised rolling shutter
  • Camera controls: adjust resolution, frame rate, brightness, contrast, saturation, gamma, sharpness, exposure, white balance

Object detection:

  • Object types: people, vehicles
  • Object tracking
  • Detection outputs: bounding boxes 2D/3D; location; speed; unique ID; segmentation masks
  • Detection range: up to 20 m (3D); up to 40 m (2D)
  • Skeleton tracking: 18 body key points; head bounding box; up to 10 m range
  • Sensors: accelerometer, gyroscope, barometer, magnetometer, temperature

Connectivity:

  • USB 3.0 connector with 1.2 m integrated cable
  • Mounting options: ¼”-20 UNC thread mount; 2 x M3 threads
  • Power: via USB 5V / 380 mA
  • Operating temperature: -10 to 50 °C

Requirements (SDK system):

  • Dual-core 2.3 GHz or faster processor
  • 4 GB RAM or more
  • NVIDIA GPU with compute capability >3.0

In the box:

  • ZED 2 stereo camera
  • 1 mini tripod stand
  • Documentation
  • Compatible operating systems: Windows, Ubuntu, Debian, CentOS, Jetson L4T
  • Warranty: 10-year hardware
  • Dimensions: 175 x 30 x 33 mm
  • Weight: 124 g
  • Aluminium enclosure

Resources for the ZED 2 camera

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